Bibliographic record
Abstract
This paper explores an ongoing doctoral research project on how pedagogical assemblages can assist students, teachers and scientists to more actively collaborate in research, and the adaptation activities that would result from this collaboration. As a result, the community would be able to respond in a more engaged and relevant way to the crisis of climate change. The research will take place in an Arctic community and aims to develop a pedagogy that evolves with the changing climate and is rooted in Inuit Qaujimajatuqangit ; Inuit Societal Values, beliefs and attitudes; critical pedagogy of place; and Western science. The findings from the initial stage of research on current educational responses, research-community partnerships, and challenges will be presented. The second stage, focusing on the development of a place-based program focused on students, teachers, and scientists exchanging and increasing knowledge and skills, and engaging meaningful actions tailored to particular local needs, will be introduced. This research provides a unique contribution to the field as it will explore current educational responses, partnerships, and challenges, as well as offer a pedagogical model for more thoughtful and reflexive learning and action about climate change in particular social contexts of dramatic ecological changes.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".