Power, voice and the public good: Schooling and education in global societies
Bibliographic record
Abstract
Preface / Carol Camp Yeakey -- Introduction / Rodney K. Hopson, Carol Camp Yeakey, Francis Musa Boakari -- Globalization, education and the trouble with peace / Antoinette Errante -- Neoliberalism versus social justice: a view from Canada / Reva Joshee -- The cost of education for some: educating illegals in the U.S. / David Urias -- The effects of the neo-liberal agenda on education in some African countries / Birgit Brock-Utne -- Schools as markets: bilking the young and powerless / Judith Brooks-Buck -- What to teach our global citizens: applying transnational civics frameworks in four post-communist states / Alison Price-Rom -- Schooling and education for the San (Ju/'hoansi) in Namibia: between a rock of colonialism and the hard place of globalization / Rodney K. Hopson, Jennifer Hays -- Globalization from above, globalization from below: mechanisms for social disparity and social justice in higher education / Erin Kimura-Walsh, Walter R. Allen --
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.
How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".