How Ideology, Not Science, Determined Teaching Children to Read in Ontario
Bibliographic record
Abstract
This article exposes the sabotage of a much-needed, empirically based reform to reading instruction by an educational bureaucracy captured by a highly ideological, but evidence-poor contemporary Critical Theory. In 2023, Ontario’s Ministry of Education (Ministry) replaced its 2006 elementary language curriculum in response to the Human Rights Commission’s Right to Read Report, accusing the province of neglecting empirically tested Learning Science-based approaches, by unwarranted emphasis on socio-cultural concerns. Employing a bibliometric terminology-mining approach as a construct representing paradigmatic priorities in policy-making, I found that while the use of Learning Science terminology doubled from the old curriculum, Critical Theory language increased by 355.24%, and use of the term identity increased by 2,233.87%, indicating a resistance to prioritizing literacy over ideology. I attribute this to agenda-setting in the bureaucracy, promoting decontextualized American narratives and grievances nurtured in scholarship more concerned with copying American trends than solving Canadian education concerns. Despite alarming literacy trends, the Ministry remains ideologically intransigent in its adherence to Critical Theory, merely engaging in a Learning Science pretence that may temporarily deceive the public, but that will continue to negatively affect children’s literacy into the future.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".