LESS THAN KIN, MORE THAN KIND: THE ROLE OF POSITIVE PARENTING IN THE DEVELOPMENT OF SOCIAL AND PSYCHOLOGICAL FUNCTIONING AMONG YOUTH IN FOSTER CARE
Bibliographic record
Abstract
The present study examined the importance of parental nurturance, parentchild cohesion, and parent-child relationship quality in the prediction of social functioning and internalizing and externalizing problems among youth in foster care.Data came from 257 youth in foster care, aged 10-18 years old, and from their primary caregivers, as part of an annual interview required of youth in the Ontario child welfare system.Parent-and youth-reports of parenting and of youth outcomes were obtained as part of this interview.Results were inconsistent across age groups, however, higher parent ratings of nurturance generally predicted fewer internalizing problems in youth, and better youth ratings of parent-child relationship quality predicted increased youth prosocial behaviour and fewer internalizing problems.Inconsistency of results may be related to variables of particular importance to the foster-parent child context that were not accounted for in the present study (i.e., attachment).v DEDICATION For all the youth who reside or have resided in the care of the Ontario child welfare system; may this work and others like it inspire research that will continue to improve the lives of these youth in the years to come.vi ACKNOWLEDGEMENTS Many thanks to Dr. Menna and Dr. Ellison for the idea behind this project, and for all of their support and encouragement in developing my own ideas and research questions.Thank you to the Windsor-Essex Children's Aid Society for the use of this dataset, and to all of the children this agency serves who provided data for this project.Thank you also to my committee members, who helped develop this project to its current state and made this research experience a positive one.Thanks also to all of my friends in Windsor and Ottawa who supported me during the process, especially those who listened, helped brainstorm, offered advice, answered questions, loaned me books, and told me when to seek expert advice.Special thanks to Lisa, for helping to make these past two years go by so quickly, to Shannon, for your long-distance friendship, and to Joanne, for your computer 'help'.I must also thank all the members of my graduate cohort, who are truly some of the smartest and funniest people I have ever had the pleasure of knowing, and whose company has made these first two years of
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".