Knowing Friendships: A Qualitative Inquiry of Friendship, Mental Health, and Power in the Lives of Teenage Girls
Bibliographic record
Abstract
This thesis deepens understandings of the relationship between friendship and mental health in the lives of teenage girls by positioning them as knowers.Grounded in social constructionism and feminist standpoint theory, I use reflexive thematic analysis to analyze semi-structured interviews conducted with nine teenage girls in Ontario, Canada to explore the knowledge they generated through caring for one another's mental health.Teenage girls' mental health is inextricably tied to experiences of power, with oppressions acting as sites of power diminishment while friendships act as sites where power is created and nurtured.My findings are conceptualized in three components: the frame is Power, the context is Toxic Environments (Adultism, Capitalism, and Patriarchy), the knowledges are Power-full Friendships (Effective Support, Therapeutic Values, and World Crafting) and Self-Becoming (Self-Determination, Self-Knowledge, and Access to resources).This understanding has implications for improving mental health systems, social work empowerment models, and subverting structuralized oppressions.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".