Unsettling the Hegemony of ‘Western’ Thinking: Critical Reflection on My Journey to Understanding Campesino-a-Campesino Pedagogy
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.084 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".