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Record W4399587180 · doi:10.15366/riejs2023.13.1.017

Researching Together: Disrupting Colonial Thinking in Higher Education and Beyond

2024· article· es· W4399587180 on OpenAlexaff
Sue Tangney, Julie Mooney, Ana Luisa López Vélez

Bibliographic record

VenueRevista Internacional de Educación para la Justicia Social · 2024
Typearticle
Languagees
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Las universidades, aunque se consideran centros de creación de conocimiento, también son producto del colonialismo. Este artículo se centra en un estudio autoetnográfico llevado a cabo por tres profesoras universitarias blancas que utilizamos pautas reflexivas para problematizar nuestra posición. Nuestro objetivo es comprendernos mejor a nosotras mismas y nuestras identidades, los beneficios que hemos obtenido del colonialismo y los enfoques apropiados que podemos adoptar para facilitar la descolonización de los planes de estudio. Consideramos que este autointerrogatorio y esta búsqueda colaborativa de significados, aunque a veces doloroso, constituyen una oportunidad enriquecedora y transformadora para el desarrollo personal y profesional, y un punto de partida para escuchar a los pueblos indígenas, trabajar con ellos y permitirles emprender una labor descolonizadora. Seguidamente, utilizamos esta experiencia para sugerir formas en las que otros y otras profesoras pueden participar en procesos similares de autorreflexión crítica y autodesarrollo, con el fin de desbaratar el pensamiento colonial en la educación superior y más allá.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.048
GPT teacher head0.404
Teacher spread0.356 · 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.

Study designTheoretical or conceptual
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 routes1
Has abstractyes

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