Bibliographic record
Abstract
I was in the right place at the right time. Canadian universities were in an expansionist mood in the 1960s and business was brisk with respect to hiring. It was in full swing when I entered the Ph.D. program at the Ontario Institute for Studies in Education in 1968 and, fortunately for me, had not quite petered out by the time my two-year residency was drawing to a close. The Department of Education at Dalhousie University was in the midst of reorganizing its B. Ed. program in 1969Ed. program in -1970 with a new emphasis on introducing student teachers to what had come to be regarded as the main disciplines relevant to educational theory, one of which was philosophy of education. The position at Dalhousie also involved a minor appointment in the Department of Philosophy and this made it all the more attractive. I interviewed successfully in January 1970, and so it was that in August that year, Niki and I arrived in Halifax where we have made our home now for forty years. Within a few months, I had defended my dissertation and my career was well underway.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".