Grandparents as Foster Parents: Psychological Distress, Commitment, and Sensitivity to their Grandchildren
Bibliographic record
Abstract
Grandparents are increasingly solicited to become foster parents. This study aims to describe the psychological distress, parental sensitivity, and parental commitment of a group of Quebec foster grandparents. Forty-eight foster parents were assessed in this study, including 12 grandparents. Psychological distress was assessed using the Symptom Checklist–90–R (SCL–90–R®; Derogatis & Lazarus 1994), parental sensitivity using the short version of the Maternal Behavior Q-Sort (Tarabulsy et al., 2009; Pederson & Moran, 1995) and commitment using a semi-structured interview (This is My Baby; TIMB: Bates & Dozier, 1998). Results indicate no difference between foster parents and grandparents as a function of parental characteristics, sensitivity and commitment. However, results show an association between grandparent status and depressive symptoms even after controlling for family income and child externalization. Challenges faced by foster grandparents are discussed as well as their need of support from child welfare protection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".