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Record W4225375653 · doi:10.3390/soc12030076

Unsettling the Hegemony of ‘Western’ Thinking: Critical Reflection on My Journey to Understanding Campesino-a-Campesino Pedagogy

2022· article· en· W4225375653 on OpenAlexaff
Roseann Kerr

Bibliographic record

VenueSocieties · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsLakehead University
Fundersnot available
KeywordsReflexivitySociologyContext (archaeology)HegemonyIndigenousPedagogyCritical pedagogyCritical theoryField (mathematics)Critical ethnographyEthnographyEpistemologySocial scienceAnthropologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

In the field of education for sustainability, there is a call to consider diverse livelihoods and world views beyond dominant anthropocentric, scientific, and ‘Western’ ways of understanding and living. For scholars and educators trained in ‘Western’ culture, this is complicated by how this dominant culture is infused in all our ways of thinking and being. This paper explores the authors’ journey to unsettle their ‘Western’ thinking through analysis of reflexive field notes taken during field research. Data is shared from the author’s doctoral study of Campesino-a-Campesino (CaC) as an anti-racist pedagogy. The paper tells a story of the unsettling of the author’s assumptions about research, race, development, and education prompted by field experiences and guided by critical educational ethnography. An interdisciplinary approach to analysis is used including scholars in critical race theory, TribalCrit, Indigenous education, decolonization theory, and post-development theory. Conclusions illuminate researcher reflexivity, understanding critical context, learning the history of research, and shifting which scholars are considered in the analysis as crucial in the process of decolonizing the study of anti-racist pedagogies for sustainability.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.996

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 studies0.0050.000
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 head0.160
GPT teacher head0.423
Teacher spread0.263 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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