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Record W2947946073 · doi:10.15402/esj.v5i2.68346

Reading Experience as Communitist Practice: Indigenous Literatures and Community Service-Learning

2019· article· en· W2947946073 on OpenAlexvenueaboutno aff
JD McDougall, Nancy Van Styvendale

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousService-learningSociologyScholarshipContext (archaeology)PedagogyMedia studiesPublic relationsPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

Our paper analyzes a community service-learning class on Indigenous literatures from the perspectives of graduate student and instructor. Enacting Jace Weaver’s theory of communitism (a portmanteau of “community” and “activism”), the class asks students to read Indigenous texts through the lens of their experiences at communitybased organizations in Saskatoon, Saskatchewan, and to consider how these readings shape their interactions with and responsibilities to Indigenous communities. First, the instructor discusses the complexities of community service-learning as an engaged approach to literary study in a settler colonial context. Informed by Tomson Highway’s novel Kiss of the Fur Queen, the second author then analyzes their1 contributions to the social justice club at Oskāyak High School, highlighting Oskāyak’s unique academic culture, where music and Indigenous language learning are incorporated into the fabric of everyday life. Ultimately, we argue that a communitist approach to Indigenous literary scholarship creates or furthers relationships with/in and responsibility to Indigenous communities, while encouraging an integrative approach to literary study through critical embodiment.

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)0.829
metaresearch head score (Gemma)0.596
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 score0.809
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.8290.596
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.7340.001
Scholarly communication0.0070.003
Open science0.0030.002
Research integrity0.0010.810
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 head0.095
GPT teacher head0.420
Teacher spread0.325 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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