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Record W4239685506 · doi:10.15402/esj.2015.1.a09

Learning the Development of Community-Engaged Scholars Through Course-Based Learning: A Student Perspective

2015· article· en· W4239685506 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.

venuePublished in a venue whose home country is Canada.
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

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceFutures contractCommunity engagementService-learningPerspective (graphical)Public relationsService (business)Learning communitySociologyPedagogyCommunity servicePolitical scienceBusinessComputer scienceMarketing

Abstract

fetched live from OpenAlex

Anchored by the question of what is needed for community service-learning (CSL) to continue to grow in Canada, this paper proposes three principles for effective campus-community engagement (CCE): 1) communities need to feel ownership of community-campus partnerships; 2) post-secondary institutions need to make the route to engagement clearer and easier to navigate for their communities; and 3) post-secondary institutions need to ensure infrastructure to support students, staff, faculty, and community involved in CCE. Aspiring toward better futures for CSL in this country, the author offers possible solutions for and approaches to CCE based on her observations, reflections, knowledge, and experience as former Director of the Canadian Alliance for Community Service-Learning (CACSL).

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)0.934
metaresearch head score (Gemma)0.741
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.9340.741
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.7730.002
Scholarly communication0.0030.002
Open science0.0040.002
Research integrity0.0000.858
Insufficient payload (model declined to judge)0.0000.000

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 head0.258
GPT teacher head0.458
Teacher spread0.200 · 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