Distribution of the number of married children (total EFS) in families from different regions of Quebec.
Bibliographic record
Abstract
<p>Because only children married in Québec (registered in BALSAC) are counted, it emphasizes the potential effect of emigration out of Québec on the regional EFS frequency distribution. Note that "zero frequency EFS" exceeds the 10–15% threshold well, ascribed to couple sterility in many regions. Likewise, convex histograms of subsequent frequency classes, such as in Charlevoix, become concave when preceded by high zero EFS frequency, as in Outaouais or Isle de Montréal. Emigration affects the EFS of all families. Besides emigration (strictly, leaving Québec and married or not elsewhere), other factors: Economic, social, and historical (e.g., wars, epidemics) could have reduced BALSAC recorded EFS.</p> <p>(DOCX)</p>
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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) | 0.009 | 0.000 |
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".