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Record W4293055792 · doi:10.25071/1916-4467.40711

A Poetic Inquiry Into (Re)Connecting With the Language of the Land: Walking with dįį ndéh

2022· article· en· W4293055792 on OpenAlexaffvenue
Anita Lafferty

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPoetryIntellectIngenuityActive listeningWeavingAestheticsIdeologySociologyConsciousnessLiteratureEpistemologyPhilosophyArtCommunicationLawEngineeringPolitical science

Abstract

fetched live from OpenAlex

In this article, I strive to move beyond the pervasiveness of colonial ideologies and intellect, decolonizing my experiences by learning through the physical act of being and doing on the Land, while provocatively listening to the silences. It is through the exploration and ingenuity of poetry that the language and knowledge of my ancestors evolved. Weaving in and out of poetic and storied landscapes, I engage with learning from and with dįį ndéh as the medicine stories of my matriarchs begin to unfold.

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)0.004
metaresearch head score (Gemma)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.037
Scholarly communication0.0070.008
Open science0.0010.007
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.300
Teacher spread0.284 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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