General Social Survey, Cycle 20, [Canada] 2006: Family Transitions
Bibliographic record
Abstract
The General Social Survey (GSS) program gathers data on social subjects in order to monitor changes in the living conditions and well being of Canadians over time and to provide immediate information on specific social policy issues of current or emerging interest. Cycle 20 of the General Social Survey (GSS) is the fourth cycle to collect detailed information on family life in Canada. The previous GSS cycles that collected family data were Cycles 5, 10 and 15. Topics include demographic characteristics such as age, sex, and marital status ; family origin of parents ; departure from the parental home ; marriages of respondent ; common-law unions of respondent ; fertility and family intentions ; birth and adoption ; child custody ; financial support agreement or arrangement for children and ex-spouse/partner ; social networks ; work-family balance and family functioning ; work history and maternity and paternity leave. The GSS also gathered data on the respondent'smain activity and other socio-demographic characteristics.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.019 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.013 |
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".