Brave New Teachers: Doing Social Justice Work in Neo-liberal Times
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
The authors of Brave New Teachers adopt a critical-democratic lens to analyze how neoliberal educational agendas have impacted the ability of progressive teachers to cultivate equitable and inclusive classrooms. The book is based on a longitudinal study that documents the self-reported teaching experiences of a group of teachers who graduated from the Urban Diversity Program at York University. Brave New Teachers explores how the current context of Canadian schooling has been shaped by neoliberalism. Within this paradigm, the authors thematically emphasize how the standardized testing and accountability movement, as well as the top-down imposition of curriculum standards, circumscribe the efforts of courageous teachers who work diligently on creating anti-oppressive curriculums and school environments. The tension that exists when these teachers feel pressured to conform to higher top-down authorities is documented throughout the` book.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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