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Record W7036146440

Assessing the Sustainability of Manitoba School Breakfast Programs: A Qualitative Approach

2015· dissertation· en· W7036146440 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicDiptera species taxonomy and behavior
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSustainabilityGovernment (linguistics)Qualitative researchValue (mathematics)Public policyPrivate sector
DOInot available

Abstract

fetched live from OpenAlex

Purpose: To access long-term sustainability of Manitoba SBP by examining the beliefs, attitudes and values of the diverse stakeholders involved in ensuring that SBP run. Sample/ Setting: Eighteen participants from the public school system, government departments and private funders in Manitoba. Method: Semi structured interviews to explore the perceptions, attitudes, and experiences of participants. Results: The perceived impact of SBP varied between each group of stakeholders though all shared a common belief that SBPs were beneficial to students. Major barriers identified were related to funding and manpower. Conclusion: All stakeholders support SBP because they understand and value the positive health, educational and social benefits SBP have for students and the wider school community. Long-term sustainability of SBP depends on creating and maintaining a positive policy environment in which SBP are seen as a valuable tool in supporting child nutrition so that funding and resources are allocated appropriately.

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)0.008
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.052
GPT teacher head0.281
Teacher spread0.228 · 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 designQualitative
Domainnot available
GenreEmpirical

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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