Let’s do this together: an integration of photovoice and mobile interviewing in empowering and listening to LGBTQ+ youths in context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Evidence from a meta-analysis suggested that lesbian, gay, bisexual, transgender, and queer (LGBTQ+) youth experience elevated levels of victimization in schools as compared to their heterosexual peers, and that victimization was shown to be persistent and lasting, indicating that school environments are hostile. These findings point to the need to better understand youths’ own efforts in becoming more aware and engaged in impacting systemic inequities. Photovoice and mobile interviewing, two relatively novel qualitative methodologies in the field of LGBTQ research, are methodologies that involve the participants by 1) taking photos of interest as a means of critical discussion, and 2) moving alongside the researcher in a participant-chosen area and have critical discussions highlighted by the visual cues. The goal of this paper is to highlight ways of listening to opinions of LGBTQ youth that are contextualized in the environments in which they are victimized.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it