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
Self-Study and Diversity II is a book about the self-study of teacher education practices in a diverse world. In this volume, the authors examine the preparation of teachers through a shared orientation to diversity grounded in a commitment to addressing issues of identity, equity, diversity, social justice, inclusion, and access in their professional practice. The first chapters are autobiographical studies in which teacher educators reflect on how their personal identities as minorities within a historically oppressive culture inform their professional practice. These powerful narratives are followed by accounts of teacher educators addressing diversity issues in the United Arab Emirates, India, South Africa, and Thailand. The closing chapters attend to the challenges of preparing teacher candidates to become inclusive educators in a diverse world. Even though each chapter focusses on a particular dimension of equity and social justice or dilemma of practice, the insights in these self-studies are relevant to all teacher educators interested in improving teacher education by respecting diversity and becoming more inclusive. Particular strengths are the diversity of authors and international scope of 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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