Familial Orientations and the Rationales for Childbearing Behaviour
Bibliographic record
Abstract
Using a local qualitative sample from Ontario, we explore the rationales for childbearing behaviour across contrasting familial orientations. There are considerable similarities among respondents with traditional and modern familial orientations in terms of the reasons for having children and the costs and values of children. Nonetheless, persons with modern orientations are more likely to give individual related reasons for having children, and to see the value of children in terms of personal needs and desires. The largest difference relates to the ideal timing of childbearing, as persons with modern orientations are more likely to prefer childbearing in the late 20s or early 30s. While the rationales offered by respondents indicate a culture that is supportive of childbearing, and individuals with more modern orientations have views similar to those with traditional orientations on ideal family size and on the value and cost of children, they will probably have fewer children given their more individualistic orientation to childbearing and the conviction that later childbearing is better.
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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 | 0.001 | 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) | 0.000 | 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".