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Record W2126874975

De/colonizing Preservice Teacher Education: Theatre of the Academic Absurd

2014· article· en· W2126874975 on OpenAlexaffabout
Spy Dénommé‐Welch, M. Kristiina Montero

Bibliographic record

VenueJournal of language & literacy education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsSociologyNarrativeMetisIndigenous educationPedagogyStorytellingTeacher educationIndigenousTheme (computing)Media studiesLiteratureArt
DOInot available

Abstract

fetched live from OpenAlex

Where does the work of de/colonizing preservice teacher education begin? Aboriginal children‘s literature? Storytelling and theatrical performance? Or, with a paradigm shift? This article takes up some of these questions and challenges, old and new, and begins to problematize these deeper layers. In this article, the authors explore the conversations and counterpoints that came about looking at the theme of social justice through the lens of First Nations, Metis, and Inuit (FNMI) children‘s literature. As the scope of this lens widened, it became more evident to the authors that there are several filters that can be applied to the work of de/colonizing preservice teacher education programs and the larger educational system. This article also explores what it means to act and perform notions of de/colonization, and is constructed like a script, thus bridging the voices of academia, theatre, and Indigenous knowledge. In the first half (the academic script) the authors work through the messy and tangled web of de/colonization, while the second half (the actors‘ script) examines these frameworks and narratives through the actor‘s voice. The article calls into question the notions of performing inquiry and deconstructing narrative.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.008
GPT teacher head0.344
Teacher spread0.336 · 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 teacher head, 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

Citations11
Published2014
Admission routes2
Has abstractyes

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