Working Together in Montréal to Improve Veterans’ Well-Being: A Canadian Perspective
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
Services for veterans in Canada can be unclear and difficult to navigate for civilian service providers working with veterans. In this article, we feature two Montréal-based initiatives that aim to improve services for veterans through collaboration, the Old Brewery Mission and Respect Forum. We begin by providing background information about Canada’s recent history of military engagements and veterans affairs issues. The first example of collaboration presented is the Sentinelles de la rue (Sentinels of the Street) program, led by the Old Brewery Mission. The Mission works with Montréal’s homeless men and women, meeting their essential needs while finding practical and sustainable solutions to end chronic homelessness. The Mission is now developing a collaborative model in partnership with government departments, veterans peer support organizations, and local health and social services to house and support homeless military veterans. The second example is Respect Forum, a not-for-profit initiative that has been organizing networking events in Montréal, Québec since 2016. The aim of these events is to promote military–civilian and multisectoral collaboration to improve services for veterans. Respect Forum meetings have made it possible to begin bringing together and mapping out local and national service providers working with veterans.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it