“Your Neighbourhood, In Your Eyes”: A Participatory Photo Project Exploration of Social Isolation During the COVID-19 Pandemic
Bibliographic record
Abstract
This research addresses the intersection of two pandemics, one of them COVID-19 and the other social isolation. Social isolation in this and other urban regions, driven in part by precarity and unaffordability of housing, has been exacerbated further by the social distancing measures mandated to counter the COVID-19 pandemic. The effects of both pandemics have disproportionately impacted already isolated households, including people living solo in community housing. While community housing operators have initiated programming to help curtail social isolation among their residents, many of these have been postponed due to COVID- 19 restrictions. This was also the case with the research approach initially intended here. In response, we devised a research technique that elicits experiential data about social isolation at home during the COVID-19 pandemic within community housing in Vancouver. Specifically, the research technique focuses on collecting personal narratives and images to offer a more rounded understanding of participant experiences. It also offers the possibility of an activity to enhance social connectedness feelings. The research approach is a proof of concept and was implemented in partnership with a non-profit community housing provider. Participants were offered a Polaroid camera and scrapbooking supplies and asked to take photos of places where they experience social isolation or connection. The results are a poetic and insightful scrapbook that demonstrates individual resilience and community connections within isolation. Future research will expand the use of this new research technique.
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How this classification was reachedexpand
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 | 0.031 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".