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Record W4232071548 · doi:10.32920/ryerson.14638785

A portrait of school community service programs in Canada

2021· preprint· en· W4232071548 on OpenAlexaffabout
Agnes Meinhard, Steven Brown

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsWilfrid Laurier UniversityToronto Metropolitan UniversityVictoria Park
Fundersnot available
KeywordsJurisdictionPortraitContext (archaeology)CurriculumService (business)CitationPublic relationsPolitical scienceLibrary scienceSociologyPedagogyGeographyBusinessMarketingLawComputer science

Abstract

fetched live from OpenAlex

Although community service programs are to be found across the Canadian landscape, there have been no national initiatives to standardize programs. Thus, the place and nature of community service in high school curricula vary significantly among the 13 educational jurisdictions in Canada. The greatest differences however, are to be found among individual schools within each jurisdiction. This paper presents findings from interviews with key-informants to provide a more in-depth portrait of the programs in Canadian schools. Community service practices in Canadian schools are then discussed in the context of “best practices” as described in the literature Keywords: CVSS, Centre for Voluntary Sector Studies, Working Paper Series,TRSM, Ted Rogers School of Management Citation:

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.010
Science and technology studies0.0150.005
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.138
GPT teacher head0.315
Teacher spread0.178 · 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 designObservational
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
Published2021
Admission routes2
Has abstractyes

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