MétaCan
Menu
Back to cohort
Record W2347160310 · doi:10.15402/esj.v1i1.40

Building Critical Community Engagement through Scholarship: Three Case Studies

2015· article· en· W2347160310 on OpenAlexvenueno aff
Isobel M. Findlay, Marie Lovrod, Elizabeth Quinlan, Ulrich Teucher, Alexander Kiew Sayok, Stephanie Bustamante, Darlene Domsby

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
FundersUniversiti Malaysia Sarawak
KeywordsScholarshipSociologyTransformative learningIndigenousIdeologyEngaged scholarshipHegemonyPublic relationsEnvironmental ethicsPolitical sciencePoliticsPedagogyLaw

Abstract

fetched live from OpenAlex

Drawing on a shared recognition that community is defined, understood, constructed, and reconstructed through contextually inflected relationships, collaborating authors use diverse interdisciplinary case studies to argue that rigorous community-engaged scholarship advances capacities for critical pursuit of cognitive and social justice. Whether through participant-centred projects undertaken with youth in government care networks, cross-cultural explorations of Indigenous and non-Indigenous science and culture as resources for food security, or facilitated dramatizations of community relations impacted by neo-liberal ideologies, contributors affirm welcoming co-learning environments that engage multiple forms of knowledge expression and mobilization. The respectful spaces held in these community-researcher collaborations enable new advances beyond hegemonic knowledge development institutionalized through colonialist histories. This essay theorizes prospects for building transformative community through scholarship, citing practical examples of the principles and practices that foster or frustrate sustainable communities. It explores the institutional arrangements and power dynamics between and among actors, asking who gets included and excluded, and what boundaries are created and crossed around complex, contradictory, and contested notions of “community.” Â

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 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)0.873
metaresearch head score (Gemma)0.785
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: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.8730.785
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.5260.001
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0000.685
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 head0.450
GPT teacher head0.454
Teacher spread0.004 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueEngaged Scholar Journal Community-Engaged Research Teaching and LearningSame topicInnovation and Socioeconomic DevelopmentFrench-language works237,207