The Intergenerational Continuity of Fathers' Absence in a Socioeconomically Disadvantaged Sample
Bibliographic record
Abstract
Fathers' absence is a pattern that shows intergenerational continuity, most notably within disadvantaged populations. The process whereby this pattern is repeated across generations is not well understood. Using data from the Concordia Longitudinal Risk Project, the authors investigated pathways between fathers' absence in 1 generation and the experience of fathers' absence by their children. The current sample included 386 socioeconomically at‐risk individuals across 2 waves of data collection: (a) when they were children and (b) when they were adults with their own children. Analyses based on structural equation modeling revealed that men whose fathers were absent when they were children were more likely to become absent fathers, and women whose fathers were absent when they were children were more likely to have children with absent partners. Indirect pathways between fathers' absence in 2 generations through aggression, education, and substance abuse were illustrated for women. These findings add to the literature suggesting that fathers' absence during childhood has intergenerational effects.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".