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Record W2188909669 · doi:10.24043/isj.303

Insular identity and urban contexts: representations of the local in the construction of an image of Palma (Mallorca, Balearic Islands)

2014· article· en· W2188909669 on OpenAlexvenueno aff
Mercè Picornell

Bibliographic record

VenueIsland Studies Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsTourismOpposition (politics)GeographyPopulationEconomic geographyEthnologySociologyPolitical scienceDemographyArchaeologyLaw

Abstract

fetched live from OpenAlex

This article analyses the relationship between island and city in the configuration of an insular identity. The hypothesis addresses the special visibility that, in the case of small islands, results from the confrontation between two relevant singularities – the city and the island – in the symbolic conceptualization of territory. The opposition between island contexts and urban spaces is thus considered in terms of the local/global and rural/urban binaries. These are analysed in contemporary cultural representations of the relationship between the island of Mallorca and its historical and administrative capital, Palma. Since the 1960s, Mallorca has become a mass tourism destination with a considerable demographic impact, especially in the capital, which is the island’s gateway for both tourism and immigration. This paper considers geographical, literary and media discourses along with particular mass-consumption cultural products to argue that Palma is represented as a predatory ‘monster’ devouring the island’s ‘local’ identity. It is argued that different types of neo-ruralism have emerged and reinforced the opposition between the island and the city. This opposition underlies a process of counter-acculturation that delineates and strengthens Mallorcan self-representation in a context defined by an increasingly diverse population as a result of tourism and migratory flows.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.019
GPT teacher head0.320
Teacher spread0.302 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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