Self and Social Formation and the Political Project of Teaching: Some Reflections
Bibliographic record
Abstract
"Like many young people growing up in Canada during the 50s and 60s, I felt increasingly like I was being swallowed up in some viscid mass of dull, mind-numbing convention, particularly my experience of being schooled, since I like to make a distinction between being schooled and experiencing an education. Education requires the cultivation of critique, or critical consciousness, and in my teenage high school years, being intelligent or able to conscript concepts into the service of sustained critique was not something that earned one a lot of attention with one’s peers, and I was culturally shallow enough to want to be part of the popular crowd, so I would often hide my intellectual curiosity about life, mostly during moments of grinding loneliness, and expostulate with myself about why my life at school seemed so ruinously vacuous, why I was so interminably miserable, why acts of creativity and why displays of ingenuity and wit seemed to be off-limits and treated by so many teachers as unjudicious, impolite, an epistemological breach of impolicy."
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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.030 | 0.072 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".