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Record W2496757970 · doi:10.15402/esj.v1i2.114

"We Went in as Strangers, and Left as Friends”: Building Community in the Wahkohtowin Classroom

2016· article· en· W2496757970 on OpenAlexaffvenueabout
Sarah Bühler, Priscilla Settee, Nancy Van Styvendale

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSolidarityIndigenousSociologyInjusticePrivilege (computing)Resistance (ecology)Context (archaeology)Restorative justicePedagogyGender studiesCriminologyPsychologySocial psychologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

This paper analyzes interviews with students of an interdisciplinary community-based class in Saskatoon, Saskatchewan. The class— “Wahkohtowin” (“kinship” in Cree)—brought together university students with youth from Oskayak, an Indigenous High School, and members of STR8 UP, a community-based organization for former gang members. The course centred on the theme of “justice,” and students discussed legal and literary texts related to policing, criminal trials, and prison, and shared their own experiences and stories about justice and injustice. The students described the class as a profound experience of “community,” which caused them to reflect critically upon structures that create and reinforce inequality and estrangement and impact quality of life. This paper describes the class within the larger context of community-engaged pedagogy and Indigenous approaches to community engagement. We explore major interview themes centred on the complexities of creating community in the classroom. Participants discussed encountering “strangers”; telling and witnessing traumatic stories; unsettling privilege; and enacting resistance and solidarity. Ultimately, the Wahkohtowin class intervenes in dominant models of engaged pedagogy and community-service learning, disrupting notions of a university-community binary, and creating a space where students began to practice solidarity and imagine a quality of life based on equality and justice for all.

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)0.865
metaresearch head score (Gemma)0.418
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 score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.8650.418
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.4200.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.643
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 head0.136
GPT teacher head0.415
Teacher spread0.278 · 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
DomainMethods
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

Citations3
Published2016
Admission routes3
Has abstractyes

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