One Classroom at a Time? Teacher Isolation and Community Viewed through the Prism of the Particular
Bibliographic record
Abstract
In recent years a research literature has developed which increasingly problematizes the project to construct professional community in schools. This case-based literature explores the messy complexities of teacher cooperation and collaboration. It points to the human, cultural, and political dimensions in schools that prevent changes in the organizational conditions of teachers’ work from achieving their anticipated outcomes. This article deepens this vein of research by examining the experiences of those who work in a school system where, because of its governance and curriculum organization, teachers must work in a professional environment which provides few opportunities for isolation or privacy. Drawing on a series of narrative inquiries into the work and lives of Jewish day school teachers, the article helps clarify different impulses behind the search for teacher community: those that derive from professional concerns, such as the goal to improve student achievement, and those that derive from personal concerns, such as the desire to belong or to experience fellowship in the workplace. In its final section, the article brings into view sources of teachers’ ambivalence about collaboration often overlooked in the school reform literature.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.026 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| 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".