Bibliographic record
Abstract
This page intentionally left blankThe following winter I was too engrossed in myself to think how deeply Catherine had meant that remark to me.Through her and Jerome my whole world had opened up; through them I was meeting people I had previously read about only in books.My weekends in town became series of mental explosions, and at school after the day's work I used to sit up in bed for hours reading books about politics, history and the ideas which flamed in that peculiar time.Jerome seemed to know everyone in Montreal whose brain was alive, and most of them came from Europe or other parts of Canada.The old dynasty still ruled the city, as oblivious as mandarins to new faces and new ideas, but they were there: after a long, long time they were there at last and they were turning Montreal, in spite of itself, into a real world city.Coming back to Waterloo from those Montreal weekends was like stepping back into the colonial nineteenth century.Light can blind you more than darkness, and this sudden new light blinded me to signs that now would have been obvious to me.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".