Bibliographic record
Abstract
Quoting Mr. Cere, he states heterosexual marriage is “rich in history and complex heritage of symbols, myths and traditions… ” 1 History and tradition has evolved as society learned change and acceptance for others’ differences. Traditionally Canadian women were “non-people ” until they were granted the right to vote in 1916 but it took 24 more years before women were given the right to vote in federal elections. In 1928 the Supreme Court of Canada considered the following question: “Does the word ‘persons ’ in Section 24 of the British North America Act, 1867, include female persons?” “After six weeks of deliberation, the answer was “no”. The five male Justices stated that the BNA Act had to be interpreted in light of the times it was written. In 1867, women did not vote, run for office nor serve as elected officials. Only male nouns and pronouns were used in the BNA Act. As well, the British House of Lords did not have a woman member and therefore, the justices concluded Canada should not change this tradition. ” 2 Yet another so-called tradition, which has been declared discriminatory, was slavery. In 1793,
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.136 | 0.044 |
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".