Managing crisis and living in crisis: health & place, what separation? A holistic view of the community environment at Sherbourne and Dundas
Bibliographic record
Abstract
A person’s environment greatly influences and informs their emotional health, wellbeing and ability to live with dignity and express agency. The Sherbourne and Dundas neighborhood presents a matrix of spaces entrenched with high levels of violence, incivilities and public health hazards. Currently, there are numerous institutions working within and surrounding this community all with a mandate to support the vulnerable and stigmatized who live here yet to date has not been actualized on any level at Sherbourne and Dundas. The environmental living conditions for the neighborhood and the participants of this study are quickly deteriorating putting everyone within and surrounding the area at increased risk Findings of this narrative study with three residents indicate that there to be a stronger balance between community and service user voice in developing and informing programming as well at determining who occupies space in their environment as ‘helpers ’and other structural and systemic representations which yield a great amount of power as brokers in this marginalized and vulnerable neighbourhood space. In doing so this community would be able to hold power accountable in this environment, disrupt the hybridization of institutionalization that is in effect in this space.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".