Bibliographic record
Abstract
This book examines stepfamilies in Canada within a socio-demographic framework. A cross-sectional perspective by describing the stepfamilies examined at survey is presented first. The main focus is to compare stepfamilies with intact and lone parent families in order to see the extent and nature of the differences between them. The results suggest that stepfamilies do not differ as much as expected from intact families with regard to certain socioeconomic variables. Additionally, the question of how to measure stepfamilies is a major concern. The next stage involves an analysis of stepfamily instability and childbearing in a longitudinal perspective, applying the method of event history analysis. The results suggest that stepfamilies face a high risk of experiencing a separation. The arrival of a common child within a stepfamily appears to be determined mainly by the age of the mother and of existing children. The most compelling finding of this research lies in the differences observed in the outcomes of male and female respondents with regard to their stepfamily dynamics.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".