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Record W3084278395 · doi:10.1111/1467-9752.12470

Land, Language and Listening: The Transformations That Can Flow from Acknowledging Indigenous Land

2020· article· en· W3084278395 on OpenAlex
Sean Blenkinsop, Mark Fettes

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.

Bibliographic record

VenueJournal of Philosophy of Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIndigenousActive listeningAcknowledgementSituatedSociologyExperiential learningPoliticsEnvironmental ethicsWork (physics)EpistemologyPedagogySocial sciencePolitical scienceLawEcology

Abstract

fetched live from OpenAlex

We begin this paper by considering a practice that is not normally thought of as ‘environmental education’. That is, the land acknowledgement. In recent years, it has become standard for schools and other public institutions in British Columbia (BC) to acknowledge that they are situated on Indigenous land, especially when hosting events and presentations. And yet, as the paper continues, we are challenged to consider the greater implications these acknowledgements might bear for educators beyond simply a speaking of the words. In order to do this work, we focus on three strands—land, language and listening—which we suggest arise directly from careful consideration of the contents and goals of these acknowledgements. Drawing from Indigenous, philosophical, experiential and political sources, we explore the strands and posit that they may become important educational well-springs for transforming human and more-than-human relationships. We end this paper with a short discussion of some work currently under way in BC.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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