Coffee House: Habitus and Performance Among Law Students
Bibliographic record
Abstract
Drawing on the work of Pierre Bourdieu and Judith Butler, we develop a detailed ethnography of a social space in a major law school and explore its socialization of the students there. “Coffee House” is a weekly social event sponsored by Canadian law firms and offering free drink and food to the students present. We argue that this event and the actors involved profoundly change student identities and alter educational aspirations. Although the students themselves insist that “nothing is going on,” our ethnography suggests that in “Coffee House” identity is developed through performances, and in the accumulation of symbolic capital, until ultimately students come to feel their future career path is not a matter of choice, but destiny. We explore the important work of Bourdieu through this setting, but ultimately we resist his determinism, and suggest instead that, following the work of Butler, identity is a more complicated and fluid dynamic between space, repetition, and performance. It appears that a personal unconscious transformation among law students attending Coffee House is underway; yet opportunities to change the meaning of this space and these performances remain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".