Post-colonial science education: the challenge of negotiating researcher positioning
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, I describe a methodology that I employed, and resultant methods that I designed, to facilitate a Critical Discourse Analysis exploring perspectives on Western modern science as a school subject discipline in a given Caribbean context. Using specific themes from post-colonial theory, I sought to engage with some of the viewpoints presented by key stakeholders in secondary science education in the research setting. This paper reports on the methodological framework for the research study, illustrating some of the philosophical challenges encountered during the development of the research methods. Specifically, I discuss the tensions associated with the pursuit of researcher legitimacy, the use of ‘scientific’ methods of inquiry in a work that seeks to be decolonizing, and the challenge of stimulating conversation about a topic for which participants might not possess readily formulated opinions. My response to these challenges resulted in methods that utilized a unique adaptation of Stephenson's Q methodology. Although these tensions are far from being fully resolved, the approach outlined helps contribute to our understanding of the complexities of negotiation that can occur when conducting research of this nature.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.068 | 0.076 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it