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Record W4214632196 · doi:10.24043/isj.232

Sub-National Island Jurisdictions as Configurations of Jurisdictional Powers and Economic Capacity: Nordic Experiences from Åland, Faroes and Greenland

2009· article· en· W4214632196 on OpenAlexaffvenue
Agneta Karlsson

Bibliographic record

VenueIsland Studies Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsIdeal (ethics)Ideal typeContext (archaeology)Ideal pointExclusive economic zoneGeographyJurisdictionPolitical scienceRegional scienceLawSociologyMathematicsSocial scienceArchaeology

Abstract

fetched live from OpenAlex

This paper is concerned with the relationship between jurisdictional powers and economic and innovative capacity in the context of sub-national island jurisdictions (SNIJs). The “jurisdictional powers thesis”, prominent in the present island studies debate, is confronted and discussed with reference to an empirical, comparative, study of the three Nordic SNIJs: the Åland Islands, the Faroe Islands and Greenland. The paper takes as its point of departure an ideal-type SNIJ which is characterized by a good match between jurisdictional powers and economic capacity; it then analyzes the three cases in terms of this ideal-type. Three different types of configurations emerge, representing three types of “deviations” from the ideal-type SNIJ; these are discussed in terms of their development potentialities.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.389

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.017
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.326
Teacher spread0.292 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2009
Admission routes2
Has abstractyes

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