Emerging policy opportunities for United States–Canada transboundary connectivity conservation
Bibliographic record
Abstract
In response to recent alignment of political leadership in Canada and the United States with respect to global nature conservation imperatives, a nascent and intentional dialogue has emerged on transboundary connectivity conservation between the two countries. In February and April 2021, two meetings were remotely convened, bringing together more than 160 participants from key government agencies, non-governmental organizations and Indigenous Nations engaged in conservation in both countries. Participants generated 25 concrete ideas for key next steps and 11 broad strategies that, when considered together, comprise 11 priority policy directions. Among these, four core policy imperatives include (1) prioritizing opportunities to coordinate within and among Indigenous communities, (2) creating formalized memorandums of understanding (MOUs) and funding commitments between the US and Canada, (3) mainstreaming connectivity into sectors and society, and (4) initiating systemwide changes in governance and economic structures. Together, these policy directions represent important strategies at this crucial inflection point. Only rarely are nations given historic policy alignment opportunities to redefine and reinvigorate their common conservation goals. Particularly salient is the drive to embrace transboundary connectivity conservation as a nature-based solution to climate change adaptation. We see this dialogue as a beginning in securing the peace that defines two countries and numerous Indigenous Nations that are inextricably linked by ecology and culture.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.017 | 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".