The incorporation of Traditional Ecological Knowledge in the Arctic Council: Lip service?
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
Abstract The utilization of Traditional Ecological Knowledge (TEK) in wildlife management has been a prominent topic for several decades. Since its establishment, Arctic Council (AC) has emphasized the importance of TEK and its utilization in its work. Yet, the process of knowledge coproduction in the AC has never been assessed. To what extent has TEK been meaningfully incorporated into the AC? The research uses qualitative content analysis to analyze the AC working groups’ meeting minutes, reports, scientific reports and assessments as well as reports released by Permanent Participants in order to investigate how the TEK has been incorporated into the AC. The study investigates that the process of knowledge coproduction in the AC turned into lip service, and suggests the set of recommendations that could potentially guide the TEK projects in the process of knowledge co-production. These recommendations, including the use of participatory methodology, the use of Indigenous methods, a recognition that TEK is local, application to policy, and better cross-cultural communication, could result in the more meaningful integration of TEK into scientific projects as well as wildlife management policies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it