I WAS HERE: young mothers who have experienced homelessness use Photovoice and participatory qualitative analysis to demonstrate strengths and assets
Bibliographic record
Abstract
Inspired by Photovoice, a participatory research methodology, I WAS HERE was a photoblogging workshop in Toronto, Canada, for young mothers who, when they joined, were either homeless or had past experience of homelessness. A participatory qualitative analysis process was developed to support workshop participants in collectively conducting qualitative analysis on a selection of their photoblogs exploring how they view their lives. Five mothers engaged in the participatory qualitative analysis process to categorize their photoblogs into themes. Participants selected over 70 of their personal photoblogs, discussed the meaning of their photoblogs, and categorized them into qualitative themes. One of the mothers continued work on the research by contributing to the write-up of the themes for publication. Participants, through the reflective dialogue, developed nine themes from the photoblogs that describe how they experience motherhood. The resulting nine themes were as follows: 'Family', 'Reality Check', 'Sacrifice for Positive Change', 'Support', 'Guidance', 'Growth and Transition', 'Proud of Becoming/Being a Mother', 'Passing on/Teaching Values' and 'Cherished Moments/Reward for Being a Mother'. These themes illustrate the satisfaction that comes from motherhood, strengths and goals for the future, and the desire for support and guidance. The themes developed from this participatory analysis illustrate that young mothers have a positive view of themselves and their ability to be mothers. This constructive view of young mothers provides an alternative to the negative stereotypes commonly attributed to them. This paper also discusses the strengths and challenges of using a participatory analysis approach. As a research methodology, incorporating procedures for participatory qualitative analysis into the Photovoice process provides an effective mechanism to meaningfully engage participants in qualitative analysis. From a health promotion perspective, using the participatory analysis process expanded the Photovoice methodology to facilitate self-reflection and an empowering collective dialogue among a group of women whose strengths and assets are rarely showcased.
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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 | 0.023 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".