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Record W7000517701

Food security in Toronto's shelters for the homeless:\nPolicy alternatives

2015· other· en· W7000517701 on OpenAlexaffabout

Bibliographic record

VenueYork University Digital Library (York University) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsYork University
Fundersnot available
KeywordsFood securityAgency (philosophy)ProcurementFood safetyProvisioningService (business)Public healthPublic policy
DOInot available

Abstract

fetched live from OpenAlex

The Toronto Shelter Standards were introduced in 2002 as a policy document to aggregate the expectations of social services offered by City funded shelters. The Standards have not been revised in the last 12 years to accommodate the changes in service provisioning at Toronto Shelters. Moreover, the current edition does not provide sufficient details in their Food Safety and Nutrition section to address the delivery of food services and programming at \nshelters. Numerous Toronto based studies have uncovered hunger and nutritional deficiencies amongst homeless populations. This paper offers recommendations focused on the food and nutrition section of the Standards. Various agency employees at Hostel Services, Toronto Public Health and City-funded shelters were interviewed for insights into current processes, advantages, and concerns. An analysis of current literature and interview data lead to numerous findings. The Food Safety and Nutrition section requires the expansion of their mandatory food training, stronger interagency collaboration, meal and nutrition focused review system, more efficient and locally focused procurement process, and improved meal service structure. The paper offers potential policy amendments and solutions that can address the current hunger and malnutrition that is affecting homeless individuals in Toronto within the shelter system.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.211
Threshold uncertainty score0.425

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.001

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.

Opus teacher head0.015
GPT teacher head0.199
Teacher spread0.184 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

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