“I Always Have my Key in my Hand”: A Photovoice Exploration with Women in Post-Shelter Transition
Bibliographic record
Abstract
This Photovoice research is situated within a larger study and part of a community-based participatory research (CBPR) partnership, Project Lotus, Hope Together. Project Lotus is a collaboration that began in early 2021 with a network of women’s shelters, women with lived experience of homelessness, and academic scholars in Montreal, Quebec, working towards a broad goal of co-creating supports for women post-shelter stay. Underpinned by a critical feminist lens, the aim of this research was to uncover what helps and what hinders women in their transition from shelter to housing. Using Photovoice as the participatory research method, seven women in Montreal with lived experience of a shelter stay and post-shelter transition to their own housing were interviewed over a 6-month period in 2021. Five key and interrelated themes emerged as central to their experience and process in their transition from shelter to home: 1) Shelter as a safety net; 2) Living with trauma; 3) Moving beyond survival to find meaning in everyday life; 4) Connecting and contributing; and 5) A home. Our findings demonstrated that, while moving into their own living space post-shelter marked a new beginning for the women, it was a beginning filled with various systemic and structural barriers. Our findings also suggest and align with recent literature reviews that there are broad systemic inequalities for women related to housing, gender roles, and poverty. Sustainable wrap-around supports and policy changes using rights-based, systems, and trauma-informed approaches to support women post-shelter are urgently required.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.030 | 0.020 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".