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Record W4399299225 · doi:10.1177/0092055x241248185

Unsettling Sociology Curriculum: Indigenous Content in Introductory Sociology Textbooks

2024· article· en· W4399299225 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTeaching Sociology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methodologies in Social Sciences
Canadian institutionsUniversity of OttawaUniversity of the Fraser Valley
Fundersnot available
KeywordsSociologyIndigenousCurriculumSociology of EducationContent (measure theory)Social sciencePedagogyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Teaching introductory sociology is one of the primary means by which sociologists mobilize knowledge. Ongoing critical reflection on the content of sociology textbooks is therefore an important disciplinary enterprise. The current critical moment in which many nations, institutions, and publics face a reckoning with their historic and current relationships with Indigenous peoples presents sociologists with the opportunity to examine how Indigenous peoples, histories, and perspectives are to be found in these pedagogical materials. Drawing on Critical Indigenous scholarship that “disrupts the certainty of disciplinary knowledges[’]” concept of “connected sociologies,” we examine the state of inclusion of Indigenous content in introductory sociology curriculum. To achieve this, we conducted a content analysis of 10 of the top-selling English-language Canadian introductory sociology textbooks, and we drew directly from interviews with Indigenous scholars. By introducing the literature on solidarity and allyship in the final section, we conclude with teaching and learning actions to incorporate in sociology courses.

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)0.025
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.013
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.129
GPT teacher head0.428
Teacher spread0.299 · 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