Integrating local perspectives into climate change decision making in rural areas of the Canadian prairies
Bibliographic record
Abstract
Purpose The purpose of this paper is to develop a methodological approach to assist and prepare rural community members to make policy makers better aware of their information needs. Design/methodology/approach The methodological approach developed in this study both combines sequences of mapping presentations and small group discussions, based on ethnographic findings and climate change scenarios and also supports the integration of local and scientific knowledge in an effort to build upon local community members understanding of climate change. Participatory mapping sessions are designed and implemented in three rural communities of the Canadian prairies. Findings The application of the methodological approach developed in this study results in a set of rural community recommendations, relevant to policy makers, in an effort to ameliorate the potential future impacts of climate change at the local community level. Originality/value The need for developing venues capable of integrating the multiple dimensions (e.g. social, economic, biophysical); the multiple realities (e.g. rural community members, scientific community members); and the multiple modes of inquiry (e.g. qualitative, quantitative) involved in climate change vulnerability and adaptation.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".