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Record W4405880617 · doi:10.1177/11771801241309819

Indigenizing the Alternative Campus Tour at York University, Toronto, Canada

2024· article· en· W4405880617 on OpenAlexaffabout
Laura Sandberg

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsYork University
Fundersnot available
KeywordsIndigenizationIndigenousAcknowledgementSociologyMedia studiesDecolonizationPublic relationsSocial sciencePolitical scienceLawAnthropology

Abstract

fetched live from OpenAlex

This article presents the Alternative Campus Tour at York University, Toronto, Canada, as a land acknowledgement that critically engages with the neoliberal university and contributes to the indigenization efforts on and of the campus. This article also explores the potential of re-wording common-day academic concepts and words as a means of decolonization. Words and names can lack the animacy and intimacy that are necessary in addressing the current social justice and sustainability crisis. Translated and unique words and concepts from Indigenous languages hold room for innovation. They convey a consistent message of interconnectedness between the human and more-than-human worlds. This article recognizes that some universities have adopted Indigenous-inspired or Indigenous names for various campus attributes. But this article also points to the practice of incorporating Indigenous words, concepts and expressions as routine features on the campus tour rather than confining them to specific disciplines, courses and programmes.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.113
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0200.006
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.001

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 head0.017
GPT teacher head0.291
Teacher spread0.273 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueAlterNative An International Journal of Indigenous PeoplesSame topicIndigenous and Place-Based EducationFrench-language works237,207