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
Child welfare practices and policies are often disconnected from youth in care's perspectives and lived realities. Youth 'aging out' of care should be empowered to define their own needs, goals and success based on the unique context they are transitioning from. In research, this can be supported by engaging them as co-researchers through emancipatory approaches. Participatory Action Research (PAR) requires collaboration with those who are affected by the issue being studied in all aspects of the research, with the aim to build advocacy capacity and affect transformative social change. Photovoice employs photography and group dialogue - the fusion of images and words - as an empowerment tool, through which individuals can work together to represent their own lived experiences rather than have their stories told and interpreted by others. This is a particularly powerful approach in engaging youth with care experience, as they are often systemically disenfranchised, isolated and in need of connections to the community. This article presents the Relationships Matter for Youth 'Aging Out' of Care project, a Participatory Action Research (PAR) photovoice research project with young people with lived experience, as a case study. The project aimed to take a closer look at the relationships that matter to youth from care and how they can be nurtured over time. Narratives about the experience of participating in the project are also featured, from the perspectives of three of the youth co-researchers. Some of the benefits, challenges and lessons learned are also explored, framed within the Relationships Matter project methodology and process. Recommendations for future social work research are also presented.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it