Review of <i> Contested Classrooms: Education, Globalization, and Democracy in Alberta</i> Edited by Trevor W. Harrison and Jerrold L. Kachur
Bibliographic record
Abstract
Contested Classrooms is a collaboration of fourteen authors, most of whom hold doctorates in either educational administration, sociology, political science, psychology, or the humanities. They represent a broad range of educational stakeholders-professors, leaders in the province-wide Alberta Teachers' Association, associates of research institutes, and administrators in the province's public school systems. Together, they contribute experience, expertise, and scholarship to the volume. The editors' intent is "not only to increase public understanding of education and the deep social, political, and economic change occurring in Alberta, but to goad readers into action and to shape the future direction of public education." Cautioning against the seemingly unnoticed shift in the purpose of public education-and its unconscious acceptance-as a result of local and global economic, social, and technological changes, the editors aim to provide "a means by which parents, teachers, and concerned citizens can sort through the discrepant claims about public education and re-think the relationship between education and society."
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.016 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".