Bibliographic record
Abstract
Forty years ago, the Summer Olympics were being held in Montreal, the CN Tower opened to the public, and Canadians were introduced to a bite-sized piece of fried dough called a Timbit. “I Write the Songs” by Barry Manilow hit No. 1 on the music charts, and Steve Wozniak and Steve Jobs started a small company called Apple Computer in the garage of Jobs’s parents’ house in Cupertino, California. The same year, the Canadian Society for the Study of Education (CSSE), Canada’s premier association for professors, students, and researchers in education, published the first issue (January 1976) of the Canadian Journal of Education (CJE). It was distributed free to all CSSE members (non-members could buy one for $2!). In his opening editorial, founding editor Ronald G. Ragsdale expressed his hope that Canadian educators would use CJE as a “national forum for the exchange of ideas…a written record of the issues in education of concern to Canadians” (Ragsdale, 1976, p. 1).
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 | 0.007 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.075 | 0.010 |
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".