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Record W7030387929

A New Direction: A Framework for Homelessness Prevention

2023· report· en· W7030387929 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYork University Digital Library (York University) · 2023
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of Ottawa
KeywordsHousing FirstCLARITYSet (abstract data type)ConversationSupportive housingBest practice
DOInot available

Abstract

fetched live from OpenAlex

Prevention makes sense. To prevent disease, we vaccinate. To prevent traffic deaths, we install seat belts. While we recognize intuitively that preventing homelessness is a good idea, there has been little movement in Canada to make that happen on a national scale. A New Direction: A Framework for Homelessness Prevention sets out to provide the language and clarity to begin that conversation. 
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\nSince mass homelessness emerged in the mid-1980s, we have largely used emergency services to respond to people’s immediate needs. While we will always need emergency services to help those in crisis, over time these short-term responses have become the standard method for managing homelessness long-term. In the last decade, Canadian policies and practices have begun to shift from managing homelessness to finding solutions, in particular the expansion of the Housing First approach across the country. The Housing First model provides housing and supports for people experiencing chronic homelessness with no housing readiness requirements. New research, innovation, and best practices have propelled our thinking to make the goal of ending homelessness realistic; however, we are still missing an important piece – preventing homelessness in the first place. Why must we wait until people are entrenched in homelessness before offering help?
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\nIn A New Direction: A Framework for Homelessness Prevention, we set out to uncover what it will take to stop homelessness before it starts, to avoid its often-traumatizing effects. The aim of the framework is to begin a nation-wide conversation on what prevention looks like, and what it will take to shift toward homelessness prevention. Using international examples, the framework operationalizes the policies and practices necessary to successfully prevent homelessness and highlights who is responsible. Above all, it situates prevention within a human rights approach. Now is the time to prioritize homelessness prevention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.010
Science and technology studies0.0010.000
Scholarly communication0.0010.006
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.003

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.

Opus teacher head0.054
GPT teacher head0.247
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it