Reflexive Shifts in Climate Research and Education: Toward Relocalizing Our Lives
Bibliographic record
Abstract
This article is concerned with the way in which indigenous place-based knowledge and understandings, in a time of global climate change, have the potential to challenge researchers to self-reflexively shift the focus of their research toward those technological and consumer practices that are the cultural context of our research. After reviewing some literature on the emergence of self-reflexivity in research, the authors offer two case studies from their respective environmental education and anthropological research with northern indigenous cultures that clarifies the nature of a self-reflexive turn in place-based climate research and education. The global interconnections between northern warming and consumer culture-and its relation to everexpanding technological systems-are considered by following the critical insights of place-based knowledge. We conclude by examining the possibility that relocalizing our research, teaching, and ways of living in consumer culture are central to a sustainable future, and if so, the knowledge and understandings of current place-based peoples will be vital to envisioning such a cultural transformation of our globalizing system.
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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 | 0.060 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.017 | 0.170 |
| Scholarly communication | 0.018 | 0.026 |
| Open science | 0.004 | 0.027 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".