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Record W1588879311 · doi:10.21225/d50p4h

Community-University Partnerships: Community Engagement for Transformative Learning

2008· article· en· W1588879311 on OpenAlexaffvenue
Fay Fletcher

Bibliographic record

VenueCanadian Journal of University Continuing Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTransformative learningStatus quoSociologyPoliticsPublic relationsSocial justiceCitizen journalismCommunity engagementHigher educationPedagogyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Recently, various scholars have remarked that university continuing education (UCE) is moving away from one of its original core foci, that of social justice. In this article, the possible causes of this are discussed, including current political environments, the role of universities and academics in perpetuating or disrupting the status quo, and increased reliance on cost recovery and for-profit programming. Community-based participatory research as a feasible strategy for promoting UCE’s role in social justice is also presented. An example of UCE that was developed in response to existing social inequities and driven by discussions with the community is offered to demonstrate that critical voices can have an impact and that institutions of higher education can be collaborative and foster networks of relationships for learning. Finally, key points for the successful development of a UCE program that responds to critical voices and returns to social justice are shared.

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)0.021
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0140.025
Scholarly communication0.0160.013
Open science0.0030.031
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0200.002

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 head0.116
GPT teacher head0.282
Teacher spread0.167 · 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

Citations9
Published2008
Admission routes2
Has abstractyes

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Same venueCanadian Journal of University Continuing EducationSame topicService-Learning and Community EngagementFrench-language works237,207