Rethinking narratives about youth experiencing homelessness: The influence of self‐determined motivation and peer relations on coping
Bibliographic record
Abstract
Abstract Using the cognitive appraisal theory of coping and the self‐determination theory of motivation, we examined the shared variance of motivational orientations, attachment relationships, and gender on adaptive and maladaptive coping among youth experiencing homelessness. Several scales including The Global Motivation Scale (assessing motivational orientations; i.e., autonomous and controlled motivation), the Brief Cope (adaptive and maladaptive coping strategies), and the Inventory of Parent and Peer Attachment (self‐perceptions of relationships with mothers, fathers, and peers) were administered to 102 youth aged between 16 and 24 ( M age = 20, SD = 2.07) years recruited from an evening program for youth experiencing homelessness in Montreal, Canada. Autonomous motivation was positively associated with engagement in effective coping strategies, while controlled motivation was positively linked to maladaptive coping. Moderation analyses were used to examine whether gender and relationships with attachment figures moderated the relationship between motivation and coping. A significant main effect of peer attachment on adaptive coping emerged, in which greater peer attachment was related to more adaptive coping among the youth. No interaction effects resulted. Although no significant moderating effects were associated with essential relationships and gender, further research implementing a more nuanced approach to assessing the interaction between these constructs may be warranted. Overall, the findings highlight the importance of intervention programs for youth experiencing homelessness, that focus on enhancing autonomous motivation and utilizing peer support to optimize the use of adaptive coping strategies.
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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 | 0.004 | 0.011 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".