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Record W2806646294 · doi:10.24043/isj.375

Lighthouses, pilotage and technology: the impact on small island societies

2016· article· en· W2806646294 on OpenAlexaffvenue
Per Lind

Bibliographic record

VenueIsland Studies Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsPilotageState (computer science)Scale (ratio)RevenueInvestment (military)EngineeringBusinessPolitical scienceGeographyLawComputer scienceCartographyFinance

Abstract

fetched live from OpenAlex

This paper discusses how lighthouses and pilot services have been bearers of technology intended to improve the safety and reliability of maritime shipping. The introduction of technology has had a considerable impact on many small island societies through state involvement meant to reduce hazards in navigation and shipping. The impact has, however, been manifold and varied, and including positive and less positive impacts. Indeed, small islands and islanders have generally never been the beneficiaries of large scale, state-driven technology programs seeking to modernize society. As an exception, however, certain small islands have traditionally been of interest to the state due to their locations, either for defence purposes or to assist seafarers’ navigation in hazardous waters. This paper reviews the thrust and effects of investment in lighthouses and pilotage services on small islands. It concludes with a brief case story from a small populated island in Sweden that has undergone several periods of development and stagnation as a result of technology and state involvement.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.035
GPT teacher head0.327
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 teacher head, not a consensus.

Study designNot applicable
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

Citations2
Published2016
Admission routes2
Has abstractyes

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