Reviews
Bibliographic record
Abstract
Bankrupt Education: The decline of liberal education in Canada by Peter C. Emberley and W.R. Newell, reviewed by L.M. Findlay. International Education and the University edited by Jessica Kingsley and James Callej, reviewed by Wayne Ingalls. Higher Education: The lessons of experience by The World Bank, reviewed by Wayne Ingalls. First Nations Education in Canada: The Circle Unfolds edited by Marie Battiste and Jean Barman, reviwed by Douglas Smith. Heritage Languages and Education edited by Marcel Danesi, Keith McLeod and Sonia Morris, reviewed by Jo-anne Lee. Aboriginal Languages and Education: The Canadian Experience edited by Sonia Morris, Keith McLeod, and Marcel Danesi, reviewed by Marie Battiste. Educational Management and Leadership: World, Spirit, and Deed for a Just Society by D.J. Thom, reviewed by Merla Bolender. Literacy and Power: The Latin American Battleground by David Archer and Patrick Costello, reviewed by Susan E. Smith. The Future of Literacy in a Changing World edited by Daniel Wagner, reviewed by J. Kachur. New Directions for Equity in Mathematics Education edited by W.G. Secada, E. Fennema, and L.B. Adajian, reviewed by B.S. Randhawa.
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 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.423 | 0.377 |
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".