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Record W2034005291 · doi:10.1080/13876980500116261

Regional Policy Agglomeration: Arctic Policy in Canada and the United States

2005· article· en· W2034005291 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Comparative Policy Analysis Research and Practice · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsPoliticsPolitical sciencePublic policyIndigenousPublic administrationPolicy studiesDiversity (politics)ArcticScience policyPolicy SciencesLaw

Abstract

fetched live from OpenAlex

Abstract Regional policies addressing urban policy, rural policy and policies with specific regional targets tend to evolve from the consideration of disparate issues that impact the designated region rather than as co-ordinated strategies. We label this aggregation of disparate policies as policy agglomeration. We examine this phenomenon for domestic aspects of Arctic policies in Canada and the United States. Arctic policy in each setting is comprised of a diversity of policy components with limited policy targeting for the Arctic region or populations. The greater targeting of Canadian policies with respect to both place and indigenous populations is explained by institutional and political factors. Acknowledgements We thank Courtney Munson for invaluable research assistance and Josh Sapotichne and anonymous reviewers for helpful comments. Funding for this research was provided to the University of Washington by the National Science Foundation under grant no. OPP-0219543 under a project co-directed by Bryan D. Jones and Peter J. May. The findings of this research are not necessarily endorsed by the National Science Foundation or the University of Washington. Notes Peter J. May is Professor of Political Science at the University of Washington and a faculty associate of the Center for American Politics and Public Policy. His research addresses policy design and implementation. Bryan D. Jones is Donald Matthews Professor of Political Science and Director of the Center for American Politics and Public Policy at the University of Washington. His research addresses policy dynamics and decision-making. Betsi E. Beem, Emily A. Neff-Sharum and Melissa K. Poague are graduate fellows of the Center for American Politics and Public Policy at the University of Washington where each is completing a PhD. This discussion is based on a review of the issues raised in congressional hearings, conducted in 1982, prior to passage of the Arctic Research and Policy Act of 1984. The Canadian Polar Commission Act of 1991 defines "polar regions" in relation to Canada as including all areas north of 60 degrees north latitude and all areas north of the southern limit of the discontinuous permafrost zone. To assess whether this difference biased our findings, we compared mean policy centrality scores for the US data prior to 1996 with US data that are limited to the period of the Canadian statutes, 1996–2002. We failed to detect a difference in the mean centrality scores for these two sets of data (t-test = − 1.10, p = 0.27). This suggests that the different periods are comparable with respect to the key variable of interest in this study. The percentage of the statute devoted to Arctic considerations was estimated by coders, rather than calculated by counting lines or words. Any such count would have been problematic because of differences in the construction of statutes. Another way to measure this difference is to compare the respective distribution of centrality scores that are shown in Figure 1. These distributions also differ (Chi square = 9.78, p = .02). The mean centrality scores and one-tailed t-test for scores when comparing Canada and the United States respectively for environmental policies are 2.40 and 1.44 (t-test = 1.78, p = .05) and for development policies are 2.29 and 1.30 (t-test = 1.58, p = .08). The mean centrality scores and one-tailed t-test for centrality scores when comparing Canada and the United States respectively for human services policies are 1.79 and 1.45 (t-test = .95, p = .18). Another way to measure this difference is to compare the respective distribution of centrality scores that are shown in Figure 2. These distributions also differ (Chi square = 10.51, p = .02). Additional informationNotes on contributorsPeter J May Peter J. May is Professor of Political Science at the University of Washington and a faculty associate of the Center for American Politics and Public Policy. His research addresses policy design and implementation. Bryan D. Jones is Donald Matthews Professor of Political Science and Director of the Center for American Politics and Public Policy at the University of Washington. His research addresses policy dynamics and decision-making. Betsi E. Beem, Emily A. Neff-Sharum and Melissa K. Poague are graduate fellows of the Center for American Politics and Public Policy at the University of Washington where each is completing a PhD.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.871
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.141
GPT teacher head0.493
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it