The Integrated Use of Audio Diaries, Photography, and Interviews in Research with Disabled Young Men
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
In this article we provide a critical reflection on the integrated use of solicited audio diaries, photography, and interviews in a study with disabled young men transitioning to adulthood. In the study, we developed a methodological approach for illuminating the intersectionality of gender, disability, and generation (life stage) identities. Drawing from a critical Bourdieusian perspective, we suggest that rather than producing single or “true” accounts, the combination of methods can be used to elucidate how participants establish, maintain, and reform their identities in everyday practices. Furthermore, we discuss how participants' acts of data creation are analyzable events in themselves, wherein participants do work to establish, maintain, and reform their identities. We conclude with some lessons learned and future directions.
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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 | 0.019 | 0.004 |
| 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 | 0.002 |
| 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