Panoptic Schooling’s Confused Lessons: A Philosophical Investigation of Discipline in the School

How does the school instruct us? What is it like for a student to learn in a school? The following thesis construes the school as a site for disciplinary technology purportedly oriented toward educating students. My conceptual analysis rests on the intersection between the sociohistorical practice of schooling and the lived experience of students. I contrast schooling (the organization of a primary planned environment for instruction) and education (an existential facet of growth and social connectedness) at the center of the essay. My argument has three parts. First, I examine Michel Foucault’s concept of disciplinary technology as it pertains to the school. Second, I develop the existential presuppositions of Foucault’s argument through evidence from the field of phenomenology. Third, I sketch a normative conception of education, supported by the philosophy of John Dewey and elaborate on the dangers of discipline through a reading of Martin Heidegger’s “The Question Concerning Technology.” While this thesis thoroughly problematizes a central aspect of modern pedagogy, it does not provide simple solutions and merely hopes to examine the complicated intersection between “disciplinary” pedagogy and lived experience in order to deepen our understanding of each of these fields

pymc-devs/pymc: v5.8.2

What's Changed Bugfixes Fix bug in compute_log_likelihood when variable has dims without coords by @jaharvey8 in https://github.com/pymc-devs/pymc/pull/6882 Full Changelog: https://github.com/pymc-devs/pymc/compare/v5.8.1...v5.8.

pymc-devs/pymc: v5.9.2

<p><!-- Release notes generated using configuration in .github/release.yml at main --></p> <h2>What's Changed</h2> <h3>New Features </h3> <ul> <li>Recognize alternative form of sigmoid in logprob inference by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6978</li> <li>Allow IntervalTransform to handle dynamic infinite bounds by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/7001</li> </ul> <h3>Bugfixes </h3> <ul> <li>Fix compute_test_value error when creating observed variables by @vandalt in https://github.com/pymc-devs/pymc/pull/6982</li> <li>Fix memory leak in logp of transformed variables by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6991</li> </ul> <h3>Documentation </h3> <ul> <li>fix typo in notebook about Distribution Dimensionality by @nicrie in https://github.com/pymc-devs/pymc/pull/7005</li> </ul> <h3>Maintenance </h3> <ul> <li>Add more missing functions to math module by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6979</li> </ul> <h2>New Contributors</h2> <ul> <li>@vandalt made their first contribution in https://github.com/pymc-devs/pymc/pull/6982</li> <li>@nicrie made their first contribution in https://github.com/pymc-devs/pymc/pull/7005</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/pymc-devs/pymc/compare/v5.9.1...v5.9.2</p&gt

pymc-devs/pymc: v5.10.0

<p><!-- Release notes generated using configuration in .github/release.yml at main --></p> <h2>What's Changed</h2> <h3>Major Changes </h3> <ul> <li>ChiSquared now returns a Gamma random variable by @wd60622 in https://github.com/pymc-devs/pymc/pull/7007</li> <li>Remove several deprecated model properties and deprecate new ones by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/7033</li> <li>Bump Pytensor dependency to <code>>=2.18.1,<2.19</code> by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/7020</li> </ul> <h3>New Features </h3> <ul> <li>Default <code>moment</code> for <code>CustomDist</code> provided with a <code>dist</code> function by @aerubanov in https://github.com/pymc-devs/pymc/pull/6873</li> </ul> <h3>Documentation </h3> <ul> <li>Fix docs formatting in <code>shape_utils</code> by @kataev in https://github.com/pymc-devs/pymc/pull/7025</li> </ul> <h3>Maintenance </h3> <ul> <li>Update CODE_OF_CONDUCT.md by @fonnesbeck in https://github.com/pymc-devs/pymc/pull/7012</li> <li>Update devcontainer by @maresb in https://github.com/pymc-devs/pymc/pull/7017</li> <li>Merge redundant code across <code>logprob</code>, <code>pytensorf</code> and <code>distributions/transform</code> by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6976</li> <li>Use PyTensor StudentT RV by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/7028</li> <li>Update GOVERNANCE.md by @canyon289 in https://github.com/pymc-devs/pymc/pull/7031</li> </ul> <h2>New Contributors</h2> <ul> <li>@kataev made their first contribution in https://github.com/pymc-devs/pymc/pull/7025</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/pymc-devs/pymc/compare/v5.9.2...v5.10.0</p&gt

pymc-devs/pymc: v5.10.1

<p><!-- Release notes generated using configuration in .github/release.yml at main --></p> <h2>What's Changed</h2> <h3>New Features </h3> <ul> <li>Implement periodic kernel for HSGP by @theorashid in https://github.com/pymc-devs/pymc/pull/6877</li> </ul> <h3>Bugfixes </h3> <ul> <li>Avoid inplace mutation in <code>replace_rvs_by_values</code> by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/7055</li> </ul> <h3>Documentation </h3> <ul> <li>Reorganize docs API entries by @kataev in https://github.com/pymc-devs/pymc/pull/7030</li> <li>Remove message about JAX not being supported on Windows in installation instructions by @jackhenderson101 in https://github.com/pymc-devs/pymc/pull/7039</li> </ul> <h3>Maintenance </h3> <ul> <li>Better float32 sampling support for TruncatedNormal by @JasonTam in https://github.com/pymc-devs/pymc/pull/7026</li> </ul> <h2>New Contributors</h2> <ul> <li>@jackhenderson101 made their first contribution in https://github.com/pymc-devs/pymc/pull/7039</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/pymc-devs/pymc/compare/v5.10.0...v5.10.1</p&gt

pymc-devs/pymc: v5.9.1

<p><!-- Release notes generated using configuration in .github/release.yml at main --></p> <h2>What's Changed</h2> <h3>New Features </h3> <ul> <li>Allow batched parameters in MvNormal and MvStudentT distributions by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6897</li> <li>Logprob derivation of Max for Discrete IID distributions by @Dhruvanshu-Joshi in https://github.com/pymc-devs/pymc/pull/6790</li> <li>Support logp derivation of <code>power(base, rv)</code> by @LukeLB in https://github.com/pymc-devs/pymc/pull/6962</li> </ul> <h3>Bugfixes </h3> <ul> <li>Make <code>Model.str_repr</code> robust to variables without monkey-patch by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6942</li> <li>Fix bug in GP Periodic and WrappedPeriodic kernel full method by @lucianopaz in https://github.com/pymc-devs/pymc/pull/6952</li> <li>Fix rejection-based truncation of scalar variables by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6923</li> </ul> <h3>Documentation </h3> <ul> <li>Add expression for NegativeBinomial variance by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6957</li> </ul> <h3>Maintenance </h3> <ul> <li>Add constant and observed data to nutpie idata by @Y0dler in https://github.com/pymc-devs/pymc/pull/6943</li> <li>Improve multinomial moment by @aerubanov in https://github.com/pymc-devs/pymc/pull/6933</li> <li>Fix HurdleLogNormal Docstring by @amcadie in https://github.com/pymc-devs/pymc/pull/6958</li> <li>Use numpy testing utilities instead of custom close_to* by @erik-werner in https://github.com/pymc-devs/pymc/pull/6961</li> <li>Include more PyTensor functions in math module by @jaharvey8 in https://github.com/pymc-devs/pymc/pull/6956</li> <li>Improve blackjax sampling integration by @junpenglao in https://github.com/pymc-devs/pymc/pull/6963</li> </ul> <h2>New Contributors</h2> <ul> <li>@Y0dler made their first contribution in https://github.com/pymc-devs/pymc/pull/6943</li> <li>@amcadie made their first contribution in https://github.com/pymc-devs/pymc/pull/6958</li> <li>@erik-werner made their first contribution in https://github.com/pymc-devs/pymc/pull/6961</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/pymc-devs/pymc/compare/v5.9.0...v5.9.1</p&gt

pymc-devs/pymc: v5.8.1

What's Changed New Features Logprob derivation for Min of continuous IID variables by @Dhruvanshu-Joshi in https://github.com/pymc-devs/pymc/pull/6846 Derive logprob for exp2, log2, log10, log1p, expm1, log1mexp, log1pexp (softplus), and sigmoid transformations by @LukeLB in https://github.com/pymc-devs/pymc/pull/6826 ### Bugfixes Fix wrong ZeroSumNormal logp expression by @lucianopaz in https://github.com/pymc-devs/pymc/pull/6872 Fix bug in univariate Ordered and SumTo1 transform logp by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6903 ### Documentation Link to updated PyMC port of DBDA in README by @cluhmann in https://github.com/pymc-devs/pymc/pull/6890 ### Maintenance Reject logp derivation of binary operations with broadcasted measurable input by @shreyas3156 in https://github.com/pymc-devs/pymc/pull/6893 Cast ZeroSumNormal shape operations to config.floatX by @thomasjpfan in https://github.com/pymc-devs/pymc/pull/6889 Bump docker/build-push-action from 4.1.1 to 4.2.1 by @dependabot in https://github.com/pymc-devs/pymc/pull/6900 Bump pytensor by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6910 Full Changelog: https://github.com/pymc-devs/pymc/compare/v5.8.0...v5.8.