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Record W2809099783 · doi:10.1177/0269094218779516

Resolving the ‘Highland Problem’: The Highlands and Islands of Scotland and the European Union

2018· article· en· W2809099783 on OpenAlex
Katie Louise McCullough

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLocal Economy The Journal of the Local Economy Policy Unit · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPopulationEuropean unionPovertyUnderdevelopmentBrexitEmigrationState (computer science)Threatened speciesDevelopment economicsGovernment (linguistics)Economic growthGeographyPopulation declineIntervention (counseling)Political scienceEconomicsEconomic policySociology

Abstract

fetched live from OpenAlex

Popular perception has historically constructed the Highlands and Islands of Scotland to be economically and socially backwards in comparison with the rest of the United Kingdom. As evoked in the phrase the ‘Highland Problem’, the area has been considered by outsiders to be beyond help and destined to remain in a state of underdevelopment and chronic depopulation. Despite the history of economic intervention in the area from the late 18th century onwards from private and government initiatives intended to alleviate poverty and bring wealth to the area, it was not until the 1980s with the implementation of sustained and tailored structural assistance from the European Union that emigration slowed and the population of the Highlands and Islands began to grow significantly. This economic success has largely been the result of not only a significant injection of capital but also the willingness of the EU to use local knowledge and collaborate with local agencies. This remarkable development, which is far from over, is being directly threatened by the Brexit phenomenon.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.211
Teacher spread0.197 · 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