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Record W4404539391 · doi:10.24043/001c.124427

Insular Perspectives of the State: Territorial Policy and Management as Seen From Guaitecas

2024· article· en· W4404539391 on OpenAlexvenueno aff
Álvaro Román, Katherine Bassaletti, Javiera Larraín

Bibliographic record

VenueIsland Studies Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
FundersAgencia Nacional de Investigación y Desarrollo
KeywordsBackwardnessPoliticsState (computer science)Identity (music)Relevance (law)SociologyInstitutionalisationIntervention (counseling)Psychological interventionPolitical sciencePolitical economyEconomic growthLawPsychologyEconomics

Abstract

fetched live from OpenAlex

State intervention in island areas often focuses on their shortcomings and limitations, defining them in terms of backwardness. This approach legitimises top-down territorial integration initiatives that disregard the expectations and knowledge of local residents. One consequence of this approach is centre-periphery dynamics increasing gaps in island contexts, reducing its relevance in political, economic, and social terms. The prevalence of state interventions decided from the continent reinforces a sense of distance and difference. In this paper, we propose a definition of islandness based on three interrelated arguments: identity, political, and territorial. From there, we highlight their impact on the political sentiments that develop in these contexts, which are often marked by a sense of territorial identity, dissatisfaction with experiences involving the state, and a struggle to control the local agenda. In a case study of the Guaitecas Archipelago in southern Chile, we conducted semi-structured interviews with 39 local people between September 2021 and October 2022. Respondents shared their characterisations of the state, their expectations in terms of its role, the relationship between the public sector and local politics, and the informal practices that emerge through adaptation of standardised mechanisms devised on the mainland.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.325
Teacher spread0.311 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

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