Bibliographic record
Abstract
Theory Len Findlay, Professor For me, the notion of “the discipline” was simultaneously remade and refused by my turn to theory after moving from the uk to Canada. I arrived here with massive and largely unsuspected colonial baggage. Taking my theoretical interests into acute (sic), with its distinctive sociability and cast of characters, both encouraged and required me to understand national determinations, and overdeterminations, produced by the seismic shifts of Marxism, feminism, deconstruction, and postcolonialism. I was interpellated increasingly as a Canadian and responding to that call drove everything I did then and still do in post–Harperland. Living the contradictions of the nation and the national as a critical immigrant permitted me, eventually, to “Always indigenise!,” while benefiting from the wry fellowship of colleagues like those in Kamloops who bought me my first pint of “Imperialist Pig ipa” and then sat back to enjoy my reflections on the implications of that brand, for them and me. [End Page 8] Len Findlay, Professor English University of Saskatchewan Copyright © 2015 Association of Canadian College and University Teachers
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.081 | 0.017 |
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".