School Choice Research and Politics with Pierre Bourdieu: New Possibilities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Various sociological perspectives have been applied to facilitate school choice research over the past two decades, as showcased in this 2020 Yearbook of Politics of Education Association. Among them, Pierre Bourdieu’s concepts and theories stand out as a catalyst for the field’s sociological development. My first objective in this article is, thus, to assess the contributions of Bourdieu’s sociological theory to school choice scholarship to date. I review the established and emerging research studies to highlight the significance of Bourdieu’s conceptual system in illuminating the social dynamics of school choice. My second objective in this article is to discuss how Bourdieu’s geographical concerns and concepts have been underutilized in the field. Ultimately, I argue that Bourdieu’s sociospatial concepts can unlock new areas of research and politics by elucidating why and how school choice functions as a mechanism that accentuates social inequality, which is reproduced geographically.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it