Exploring stories of trust from foster youth in college
Bibliographic record
Abstract
This narrative study explores the experiences of five college students who were formerly involved with foster care. This study explores the ways former foster youth students tell stories of trust built or trust broken with adults before and during college. The data analysis revealed themes that add to the body of research by providing a clearer understanding of the experiences students share about trust-building or distrust throughout childhood and college. Themes identified before college include: covering up home life during childhood, distrust in biological family, shifting trust to an adult outside of the family, and a revolving door of adults as a barrier to trust building. Themes identified during college include: trusting professors, building boundaries with others, and ongoing management of family status. Finally, participants shared living between trust in self and needing reassurance throughout college. By contributing to the current literature, higher education professionals are encouraged to use these findings to advocate for full-time staff and nuanced programming for foster youth. University leaders are encouraged to use these findings to ensure the needed supports are in place for each student.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.006 |
| 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".