I now realize my question can be stated very concisely.
In Chapter 11 of MTW, will the meaning be changed if in every instance we make the replacement
$$\left[\mathbf{a},\mathbf{b}\right]\mapsto\left[\nabla_{\mathbf{a}},\nabla_{\mathbf{b}}\right]?$$
If so, how?
I will add that I have now discovered that MTW do in fact give the defintion $d\mathbf{v}/d\lambda\equiv\nabla_{\mathbf{u}}\mathbf{v}\equiv$ "covariant derivative of $\mathbf{v}$ along $\mathbf{u}$", where $\mathbf{u}=d/d\lambda.$
Original version of the question
It appears that the commutator of covariant derivatives $\left[\nabla_{\mathbf{a}},\nabla_{\mathbf{b}}\right]$ and the commutator of the same two vectors $\left[\mathbf{a},\mathbf{b}\right]$ are actually the same thing. The only difference is in how they are applied to tensors of rank grater than 0.Boldface type $\mathbf{a}$ represents a vector field. Fraktur type $\mathfrak{a}$ represents a member of $\mathbf{a}$. The non-standard use of angle brackets $\mathfrak{a}\left\langle f\right\rangle$ means to apply the vector $\mathfrak{a}$ to the scalar function $f$. The commutator of the vector fields $\mathbf{a},\mathbf{b}$ is defined in terms of an arbitrary scalar field as
\begin{align*} \mathfrak{a}\left\langle f\right\rangle & =\frac{df}{d\alpha}\\ \mathfrak{b}\left\langle f\right\rangle & =\frac{df}{d\beta}\\ \left[\mathbf{a},\mathbf{b}\right]\left( f\right) & \equiv\mathfrak{a}\left\langle \mathbf{b}\left\langle f\right\rangle \right\rangle -\mathfrak{b}\left\langle \mathbf{a}\left\langle f\right\rangle \right\rangle\\ & = f_{,\gamma}\left(b^{\gamma}{}_{,\alpha}\mathrm{a}^{\alpha}-a^{\gamma}{}_{,\beta}\mathrm{b}^{\beta}\right)\\ & = \mathfrak{e}_{\gamma}\left\langle f\right\rangle\left(b^{\gamma}{}_{,\alpha}\mathrm{a}^{\alpha}-a^{\gamma}{}_{,\beta}\mathrm{b}^{\beta}\right)\\ & = \mathfrak{e}_{\gamma}\left\langle f\right\rangle \mathrm{w}^{\gamma}\\ & = \mathfrak{w}\left\langle f\right\rangle . \end{align*}
Since $f$ is arbitrary, the commutator thus defined is a vector, $\left[\mathbf{a},\mathbf{b}\right] = \mathfrak{w}.$
Box 11.5 gives the curvature tensor as
\begin{align*} \mathfrak{R}\left(\dots,\mathbf{c},\mathbf{a},\mathbf{b}\right) &\equiv\mathscr{R}\left(\mathbf{a},\mathbf{b}\right)\mathbf{c},\\ \mathscr{R}\left(\mathbf{a},\mathbf{b}\right) &\equiv\left[\nabla_{\mathbf{a}},\nabla_{\mathbf{b}}\right]-\nabla_{\left[\mathbf{a},\mathbf{b}\right]} \end{align*}
Suppose we define the following \begin{align*} \nabla_{\mathfrak{a}}\mathbf{c} &\equiv\mathfrak{a}\left\langle \mathbf{c}\right\rangle ,\\ \left[\mathbf{a},\mathbf{b}\right]\left[ \mathbf{c} \right] &\equiv\mathfrak{a}\left\langle \mathbf{b}\left\langle \mathbf{c} \right\rangle \right\rangle -\mathfrak{b}\left\langle \mathbf{a}\left\langle \mathbf{c} \right\rangle \right\rangle \text{, and }\\ \left[\mathbf{a},\mathbf{b}\right]\left\langle \mathbf{c} \right\rangle &\equiv \mathfrak{w}\left\langle \mathbf{c} \right\rangle = \nabla_{\left[\mathbf{a},\mathbf{b}\right]}\mathbf{c}. \end{align*}
Will this lead to
$$\mathscr{R}\left(\mathbf{a},\mathbf{b}\right)\mathbf{c} = \left[\mathbf{a},\mathbf{b}\right]\left[ \mathbf{c} \right] - \left[\mathbf{a},\mathbf{b}\right]\left\langle \mathbf{c} \right\rangle ? $$
Original incomplete draft of the question:
The original draft of this question was becoming very long because I wanted to define everything explicitly. I still have considerably more to add in order to make things rigorous. But it should at least provide some additional context.
All mappings are assumed to be $\mathscr{C}^{\infty}.$ In the following, the notational distinction between fixed vectors and corresponding vector fields is non-standard. I do not extend this practice to arbitrary one-forms, simply because I ran out of imagination. In this discussion the use of angled brackets $\left\langle \dots\right\rangle $ affixed to the right of a vector indicates the ``application'' of the vector to the expression contained in the brackets. I call this \emph{applicator notation}, and use it to remove ambiguity. Applying a vector to an expression means to differentiate the argument with respect to the parameter of the locally unique tangent path determined by the vector. This, of course, requires that all such vectors are specific to a manifold point (i.e., are tangent vectors).
Initially we shall limit our definition of application $\mathbf{\mathfrak{u}}\left\langle \dots\right\rangle $ to scalar fields. To be explicit, given a parameterized path $\mathscr{P}\left[\lambda\right],$ we define a vector in the abstract using $\mathbf{\mathfrak{u}}\equiv d\mathscr{P}/d\lambda.$ This means that for every scalar field $f\left[\mathscr{P}\right],$ we have
\begin{align*} \mathscr{P}_{o} & =\mathscr{P}\left[\lambda_{o}\right]\\ \Delta\mathscr{P} & =\mathscr{P}\left[\lambda_{o}+\Delta\lambda\right]-\mathscr{P}_{o}\\ \frac{df}{d\lambda} & \equiv\lim_{\Delta\lambda\to0}\left\{ \frac{f\left[\mathscr{P}_{o}+\Delta\mathscr{P}\right]_{\text{transport agnostic}}-f\left[\mathscr{P}_{o}\right]}{\Delta\lambda}\right\} \\ \nabla f & \equiv\lim_{\Delta\mathscr{P}\to\mathfrak{0}}\left\{ \frac{f\left[\mathscr{P}_{o}+\Delta\mathscr{P}\right]_{\text{transport agnostic}}-f\left[\mathscr{P}_{o}\right]}{\Delta\mathscr{P}}\right\} \\ \mathfrak{u}\left\langle f\right\rangle & \equiv\frac{df}{d\lambda}\iff\mathfrak{u}\equiv\frac{d\mathscr{P}}{d\lambda} \end{align*}
We have also introduced an abstract definition of the gradient $\nabla f$ of a scalar field by omitting reference to any specific curve along which differentiation is performed.
The annotation ``transport agnostic'' pertains to more general covariant derivative definition, and means that the smooth path followed when taking the limit is irrelevant when differentiating a scalar field. The use of fraktur font $\mathfrak{u},\mathfrak{a},\mathfrak{b},$ etc., indicates fixed vector members of the corresponding vector fields $\mathbf{u},\mathbf{a},\mathbf{b},$ etc. Since every $\mathfrak{u}\left\langle f\right\rangle \in\mathbb{R}$ the corresponding $\mathbf{u}\left\langle f\right\rangle $ is a scalar field. The expression $\mathfrak{a}\left\langle \mathbf{u}\left\langle f\right\rangle \right\rangle \in\mathbb{R}$is the derivative of a scalar field.
We now define the commutator of two vector fields acting on a scalar field at $\mathscr{P}_{o}$ as follows
\begin{align*} \mathfrak{a}\left\langle f\right\rangle & =\frac{df}{d\alpha}\\ \mathfrak{b}\left\langle f\right\rangle & =\frac{df}{d\beta}\\ \left[\mathbf{a},\mathbf{b}\right]\left\langle f\right\rangle _{o} & \equiv\mathfrak{a}\left\langle \mathbf{b}\left\langle f\right\rangle \right\rangle -\mathfrak{b}\left\langle \mathbf{a}\left\langle f\right\rangle \right\rangle \end{align*}
In the case of a scalar field the expression $\left[\mathbf{a},\mathbf{b}\right]\left\langle f\right\rangle $ turns out to mean $\mathbf{\mathfrak{w}}\left\langle f\right\rangle $where $\mathbf{\mathfrak{w}}=\left[\mathbf{a},\mathbf{b}\right]_{o}.$ That is, we define the vector $\mathbf{\mathfrak{w}}$ in terms of its application to the arbitrary scalar field $f$ as
\begin{align*} \mathfrak{w}\left\langle f\right\rangle _{o} & \equiv\left[\mathbf{a},\mathbf{b}\right]\left\langle f\right\rangle _{o}\\ \iff\mathfrak{w} & \equiv\frac{d}{d\alpha}\left[\frac{d\mathscr{P}}{d\beta}\right]-\frac{d}{d\beta}\left[\frac{d\mathscr{P}}{d\alpha}\right] \end{align*}
To show that $\mathfrak{w}$ is, in fact a vector we appeal to the definition (with some notational liberties taken) of a tangent vector to a differentiable manifold given by Ciufolini and Wheeler in their Gravitation and Inertia.
Coordinate dependent definition: A tangent vector $\mathfrak{v}$ at a point $\mathscr{P}$ of a differentiable manifold is a mathematical object that, in a coordinate system, is represented by a set of $n$ numbers $\mathrm{v}^{i}$ at $\mathscr{P}$, components of $\mathfrak{v}$, that, under coordinate transformation $x^{\bar{i}}=\mathit{x}^{\bar{i}}\left[\left\{ x^{i}\right\} \right],$ change according to the transformation law; $$ v^{\bar{i}}=\left[\frac{\partial\mathit{x}^{\bar{i}}}{\partial x^{i}}\right]_{\mathscr{P}}v^{i} $$
Definition independent of coordinates: A tangent vector at a point $\mathscr{P}$ is a mapping $\mathfrak{v}_{\mathscr{P}}$that to each differentiable function defined in the neighborhood of $\mathscr{P}$ assigns one real number, and which is linear and satisfies the Leibniz rule. That is $$ \mathfrak{v}_{\mathscr{P}}\left\langle \mathrm{a}f+\mathrm{b}g\right\rangle =\mathrm{a}\mathfrak{v}_{\mathscr{P}}\left\langle f\right\rangle +\mathrm{b}\mathfrak{v}_{\mathscr{P}}\left\langle g\right\rangle , $$ linearity; and $$ \mathfrak{v}_{\mathscr{P}}\left\langle f\cdot g\right\rangle =\mathfrak{v}_{\mathscr{P}}\left\langle f\right\rangle g\left[\mathscr{P}\right]+f\left[\mathscr{P}\right]\mathfrak{v}_{\mathscr{P}}\left\langle g\right\rangle , $$ Leibniz rule; where $\mathrm{a},\mathrm{b}$ are real numbers and $f,g$ are differentiable functions.
Equivalent definition independent of coordinates: Given a differentiable curve $c\left[t\right],$ that is, a differentiable mapping from an interval of the real numbers into $\mathcal{M},$ and given a function $f$ on $\mathcal{M}$ differentiable at $\mathscr{P},$ the tangent vector to the curve at $\mathscr{P}=c\left[t\right]$ is defined by $$ \mathbf{\mathfrak{v}}_{\mathscr{P}}^{c}\left\langle f\right\rangle =\left[\frac{df\left[c\left[t\right]\right]}{dt}\right]_{t_{\mathscr{P}}}, $$ and one may write in a local coordinate system $\left\{ x^{i}\right\} _{n},$ $$ \mathbf{\mathfrak{v}}_{\mathscr{P}}^{c}\left\langle f\right\rangle =\left[\frac{\partial f}{\partial x^{i}}\right]_{\mathscr{P}}\left[\frac{dx^{i}\left[\vec{c}\left[t\right]\right]}{dt}\right]_{t_{\mathscr{P}}} $$ generalization of ordinary definition of a tangent vector to a curve in $\mathbb{R}^{n}.$ These definitions of tangent vector are equivalent.
We shall distinguish between components of a vector $\mathfrak{a}=\left\{ \mathrm{a}^{i}\right\} $ and those of the corresponding vector field $\mathbf{a}=\left\{ a^{i}\right\} ,$ by using Roman font for the former, and default Latin font for the latter. We also abbreviate Leibniz derivative notation by $\partial_{i}f\equiv df/d\mathrm{x}^{i}.$ There is a subtle, but important distinction between this and the subscript comma notation $f_{,i}\equiv\mathfrak{e}_{i}\left\langle f\right\rangle ,$ which only has the meaning $\partial_{i}=f_{,i}$ when $\mathfrak{e}_{i}=d\mathscr{P}/d\mathrm{x}^{i},$ that is when $\left\{ \mathfrak{e}_{i}\right\} $ is a coordinate induced basis. Finally, we introduce the coordinate-based definition of the gradient of a scalar field as the set of partial derivatives $\nabla f\equiv\left\{ \partial_{i}f\right\} ;$ (not per MTW) and the use of infix dot notation to express the contraction of the gradient with a vector $\partial_{i}f\mathrm{a}^{i}=\nabla f\cdot\mathfrak{a}$ (MTW write $\left\langle \nabla f,\mathfrak{a}\right\rangle $ instead). In more complicated expressions, the post-fix of the contraction vector is significant, in that it means to contract on the index of $\nabla$ rather than on one of the arguments to $\nabla.$
We now show $\mathfrak{w}\equiv\left[\mathbf{a},\mathbf{b}\right],$ may be expressed in component form independent of $f,$ and is therefor a vector. Since proving this for coordinate bases does the same for general bases, we shall assume we are working in coordinate bases where $\partial_{i}f=f_{,i}.$ Since we are differentiating scalar fields (even for components $a^{i},$etc.) we know that mixed partials commute: $\partial_{j}\partial_{i}f=f_{,ij}=f_{,ji}=\partial_{i}\partial_{j}f.$
\begin{align*} \mathfrak{a}\left\langle f\right\rangle = & \frac{df}{d\alpha}=\frac{\partial f}{\partial\mathrm{x}^{i}}\frac{dx^{i}}{d\alpha}=\partial_{i}f\mathrm{a}^{i}=\nabla f\cdot\mathfrak{a}=f_{,i}\mathrm{a}^{i}\\ \mathfrak{b}\left\langle f\right\rangle = & \frac{df}{d\beta}=\frac{\partial f}{\partial\mathrm{x}^{i}}\frac{dx^{i}}{d\beta}=\partial_{i}f\mathrm{b}^{i}=\nabla f\cdot\mathfrak{b}=f_{,i}\mathrm{b}^{i}\\ \mathfrak{w}\left\langle f\right\rangle = & \left[\mathbf{a},\mathbf{b}\right]\left\langle f\right\rangle =\frac{d}{d\alpha}\left[\frac{df}{d\beta}\right]-\frac{d}{d\beta}\left[\frac{df}{d\alpha}\right]\\ = & \mathfrak{a}\left\langle \mathbf{b}\left\langle f\right\rangle \right\rangle -\mathfrak{b}\left\langle \mathbf{a}\left\langle f\right\rangle \right\rangle \\ = & \nabla\left[\nabla f\cdot\mathbf{b}\right]\cdot\mathfrak{a}-\nabla\left[\nabla f\cdot\mathbf{a}\right]\cdot\mathfrak{b}\\ = & \left[f_{,\beta}b^{\beta}\right]_{,\alpha}\mathrm{a}^{\alpha}-\left[f_{,\alpha}a^{\alpha}\right]_{,\beta}\mathrm{b}^{\beta}\\ = & \left(f_{,\beta\alpha}\mathrm{b}^{\beta}+f_{,\beta}b^{\beta}{}_{,\alpha}\right)\mathrm{a}^{\alpha}-\left(f_{,\alpha\beta`}\mathrm{a}^{\alpha`}+f_{,\alpha}a^{\alpha}{}_{,\beta}\right)\mathrm{b}^{\beta}\\ = & \left(f_{,\beta\alpha}-f_{,\alpha\beta`}\right)\mathrm{b}^{\beta}\mathrm{a}^{\alpha}+\left(f_{,\beta}b^{\beta}{}_{,\alpha}\mathrm{a}^{\alpha}-f_{,\alpha}a^{\alpha}{}_{,\beta}\mathrm{b}^{\beta}\right)\\ = & f_{,\gamma}\left(b^{\gamma}{}_{,\alpha}\mathrm{a}^{\alpha}-a^{\gamma}{}_{,\beta}\mathrm{b}^{\beta}\right)\\ \equiv & \nabla f\cdot\left[\mathbf{a},\mathbf{b}\right]\\ \mathrm{w}^{\gamma}= & b^{\gamma}{}_{,\alpha}\mathrm{a}^{\alpha}-a^{\gamma}{}_{,\beta}\mathrm{b}^{\beta}\\ \mathfrak{w}= & \frac{d\mathscr{P}}{d\omega}=\mathfrak{e}_{\gamma}\mathrm{w}^{\gamma} \end{align*}
The final equation is the assertion that since $\mathfrak{w}$ is a (tangent) vector it determines a locally unique manifold path, with a parameter which we have named $\omega$. From the preceding we have all the pieces needed to justify our definition of coordinate induced basis vectors, and show how they are used to represent vectors.
\begin{align*} \mathfrak{e}_{\iota}\equiv & \frac{d\mathscr{P}}{d\mathrm{x}^{\iota}}\\ \mathfrak{e}_{\iota}\left\langle x^{\kappa}\right\rangle = & \delta_{\iota}^{\kappa}\\ \mathfrak{e}_{\iota}\left\langle f\right\rangle = & \partial_{\iota}f\\ \mathfrak{v}\left\langle f\right\rangle = & \frac{df}{d\nu}=\partial_{\iota}f\mathrm{v}^{\iota}=\mathfrak{e}_{\iota}\left\langle f\right\rangle \mathrm{v}^{\iota}\\ \mathfrak{v}= & \mathfrak{e}_{\iota}\mathrm{v}^{\iota} \end{align*}
We now define the covariant derivative of a (contravariant) vector $\mathbf{v}$ along a curve tangent to the vector $\mathfrak{u}=d\mathscr{P}/d\lambda,$ with the assumption that ``parallel transport'' is clearly defined. We also generalize the definition of the gradient to vector fields. This definition of the gradient, and the use of dot product notation do not come from MTW.
\begin{align*} \nabla_{\mathfrak{u}}\mathbf{v}\equiv & \lim_{\Delta\lambda\to0}\left\{ \frac{\mathbf{v}\left[\mathscr{P}_{0}+\Delta\mathscr{P}\right]_{\text{parallel transported to}\mathscr{P}_{0}}-\mathbf{v}\left[\mathscr{P}_{0}\right]}{\Delta\lambda}\right\} \\ = & \lim_{\Delta\lambda\to0}\left\{ \frac{\mathbf{v}\left[\mathscr{P}_{0}+\Delta\lambda\mathfrak{u}\right]_{\text{parallel transported to}\mathscr{P}_{0}}-\mathbf{v}\left[\mathscr{P}_{0}\right]}{\Delta\lambda}\right\} \\ \nabla\mathbf{v}\equiv & \lim_{\Delta\mathscr{P}\to0}\left\{ \frac{\mathbf{v}\left[\mathscr{P}_{0}+\Delta\mathscr{P}\right]_{\text{parallel transported to}\mathscr{P}_{0}}-\mathbf{v}\left[\mathscr{P}_{0}\right]}{\Delta\mathscr{P}}\right\} \\ \nabla_{\mathfrak{e}_{\delta}}\mathbf{v}\equiv & \nabla_{\delta}\mathbf{v}\\ \nabla_{\mathfrak{u}}\mathbf{v}= & \nabla\left[\mathbf{v}\right]\cdot\mathfrak{u}=\nabla_{\delta}\mathbf{v}\mathrm{u}^{\delta}\\ \mathfrak{e}_{\sigma}\Gamma_{\iota\delta}^{\sigma}\equiv & \nabla_{\delta}\mathbf{e}_{\iota}\\ \nabla_{\mathfrak{u}}\mathbf{v}= & \nabla\left[\mathbf{v}\right]\cdot\mathfrak{u}=\nabla_{\delta}\left[\mathbf{e}_{\iota}v^{\iota}\right]\mathrm{u}^{\delta}\\ = & \left(\nabla_{\delta}\mathbf{e}_{\iota}v^{\iota}+\mathfrak{e}_{\iota}\nabla_{\delta}v^{\iota}\right)\mathrm{u}^{\delta}\\ = & \mathbf{\mathfrak{e}}_{\iota}\left(\Gamma_{\nu\delta}^{\iota}v^{\nu}+v^{\iota}{}_{,\delta}\right)\mathrm{u}^{\delta}\\ = & \mathfrak{e}_{\iota}v^{\iota}{}_{;\delta}\mathrm{u}^{\delta} \end{align*}
On an $n$--dimensional manifold, analogous to the component representation of a vector field, we introduce a system of $n$ scalar fields $\overset{\sim}{\sigma}\left[\mathscr{P}\right]=\left\{ \sigma_{\iota}\left[\mathscr{P}\right]\right\} ,$ which we shall call a one-form field. Thus, for every vector $\mathfrak{v}=\mathbf{v}\left[\mathscr{P}\right]$ we have $\overset{\sim}{\sigma}\cdot\mathfrak{v}=\sigma_{\iota}\mathrm{v}^{\iota}\in\mathbb{R}.$ In the case of the coordinate induced basis field, we define a special one-form field $\left\{ \mathbf{e}^{\iota}\right\} $ such that at every $\mathscr{P}$ we have $\mathbf{e}^{\iota}\cdot\mathbf{e}_{\kappa}=\delta_{\kappa}^{\iota}.$
Let us consider the general case of $f\left[\mathscr{P}\right]=\overset{\sim}{\sigma}\cdot\mathbf{v}.$
\begin{align*} \mathfrak{v}= & \mathfrak{e}_{\nu}\mathrm{v}^{\nu}\\ \mathrm{v}^{\iota}= & \mathfrak{e}^{\iota}\cdot\mathfrak{e}_{\nu}\mathrm{v}^{\nu}\\ f\left[\mathscr{P}\right]= & \overset{\sim}{\sigma}\left[\mathscr{P}\right]\cdot\mathbf{v}\left[\mathscr{P}\right]\\ \iff f= & \overset{\sim}{\sigma}\cdot\mathbf{v}=\sigma_{\iota}v^{\iota}=\sigma_{\iota}\mathfrak{e}^{\iota}\cdot\mathfrak{e}_{\nu}\mathrm{v}^{\nu} \end{align*}
So long as we keep our wits about us, I see no reason not to extend the standard calculus notation to vector fields. That is
\begin{align*} \mathfrak{u}= & \frac{d\mathscr{P}}{d\upsilon}\\ \mathbf{v}\left[\mathscr{P}\right]= & \mathbf{e}_{\iota}v^{\iota}\\ \frac{d\mathbf{v}}{d\upsilon}\equiv & \nabla_{\mathfrak{u}}\mathbf{v}=\nabla\left[\mathbf{v}\right]\cdot\mathfrak{u} \end{align*}