Connecting community-based monitoring to Arctic environmental decision-making and governance: A systematic scoping review of the literature
Bibliographic record
Abstract
Arctic community-based monitoring (CBM) programs have proliferated in recent decades. While the desire to influence decision-making is frequently listed as a motivation for CBM, there is a dearth of literature examining whether and how this goal is achieved in the Arctic. We draw on a systematic scoping literature review to examine the current state of the literature on Arctic CBM and environmental decision-making. Relevant articles ( n = 27) were identified through inclusion/exclusion criteria (i.e., English language, peer reviewed, published between 1991 and 2021, and based on primary research) and analyzed using a data extraction questionnaire. We find that there is a growing focus on the relationship between Arctic CBM and decision-making in a range of decision contexts, most notably including co-management institutions. We note that less attention was paid to the potential effects of the often unequal, settler-colonial politics within the broader environmental governance system on the relationship between CBM and decision-making. Indigenous peoples and Indigenous Knowledge systems play a significant role within the included references, but less than half of the included references incorporated Indigenous governance concepts to a major extent. Based on our findings, we recommend future studies engage critical analysis of the influence of the governance and politics in the Arctic (1) on environmental decision-making; (2) the politics of knowledge; and (3) the use of digital technologies in the collection, storage, and mobilization of CBM data.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".