Zur Normalisierung von Heterosexualität in den House of Commons Debatten zur Gesetzesvorlage C-33, 1996
Bibliographic record
Abstract
Am 29. April 1996 legte der damalige Justizminister und Mitglied der regierenden Liberal Party, Allan Rock, die Gesetzesvorlage C-33, ein Gesetz zur Verbesserung der Canadian Human Rights Act dem 35. Parlament vor (House of Commons Debates1 1996, S. 2070).2 Die Gesetzesvorlage C-33 war dazu bestimmt, sexuelle Orientierung als einen untersagten Diskriminierungsgrund in Gebieten, die föderaler Jurisdiktion unterliegen, einzuschließen (Chotalia 1997, S. xlvii). Die Gesetzesvorlage wurde nach der dritten Lesung am 9. Mai 1996 angenommen (Debates 1996, S. 2569) und erhielt die königliche Genehmigung am 20. Juni 1996 (Statutes of Canada, Kapitel 14).
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".