Review of "No More Teachers, No More Books: The Commercialization of Canada's Schools"
Bibliographic record
Abstract
No More Teachers, No More Books" is Heather-jane Robertson's examination of Canadian public education.Regarding which, she says, "we may talk of who has power, but not of who profits; what is illegal, but not what is unjust; and of education to train workers but not of education for itself."She criticizes deals between a fast-food giant and schools of preteens, and between a ministry and a brewery for curriculum on safe drinking.She laments that educational debate is limited to what brand of technology to purchase, not the role of technology in education.Governments are being advised to replace schools with virtual classrooms.Robertson cites studies showing that virtual classrooms and virtual teachers don't improve a child's learning, but they do retard social skills.Technology manufacturers, not children, benefit from virtual classrooms.Public education is being attacked by deregulation pundits.The Multilateral Agreement on Investment (MAI) says public goods and services, such as education, are governmental monopolies interfering with business freedom.The MAI says governments must let business compete in providing education or compensate for the lost opportunity to profit.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".