MétaCan
Menu
Back to cohort
Record W2911149565 · doi:10.1111/area.12529

Islands of connectivity: Archipelago relationality and transport infrastructure in Venice Lagoon

2019· article· en· W2911149565 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.

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

Bibliographic record

VenueArea · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsHealth PEIUniversity of Prince Edward Island
Fundersnot available
KeywordsArchipelagoEconomic geographyDiversity (politics)GeographySociologyArchaeologyAnthropology

Abstract

fetched live from OpenAlex

Researchers are increasingly turning to relational approaches to island geography, with special emphasis being placed on archipelagos and land–sea interactions. Islands nevertheless continue to be associated with isolation, peripherality and/or disconnectedness, and fixed links such as bridges and causeways continue to be regarded as factors that decrease the quality of islandness. This does not, however, take into account the diversity of island spatialities and islands’ various positions within centre–periphery relationships. This paper sheds light on the complexity of island and archipelago connectivities by considering the transport infrastructure (bridges, boats, channels, harbours, canals, roadways) and relationships between, within and among the numerous islands of Venice Lagoon, Italy. The paper argues that island communities face diverse sets of challenges, and there is no single connectivity‐enhancing solution that is applicable to all islands. It furthermore argues that instead of seeing fixed links and intense connectivity as reducing a place's islandness, we should see them as altering the way in which a place's islandness is practised.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.359

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 studies0.0000.000
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 head0.011
GPT teacher head0.249
Teacher spread0.238 · 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