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Pangs of nascent nationalism from the nationless state? Euro coins and undocumented migrants in Malta since 2004<sup>†</sup>

2009· article· en· W2057540678 on OpenAlexaff
Godfrey Baldacchino

Bibliographic record

VenueNations and Nationalism · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsNationalismNational identityState (computer science)Identity (music)NarrativeSociologyPolitical scienceCharacter (mathematics)LawPolitical economyHistoryGenealogyArtAestheticsPolitics

Abstract

fetched live from OpenAlex

ABSTRACT. This paper examines recent manifestations of the emergence of national identity amongst the citizens of Malta, now the smallest member state of the European Union. In this search, discrete events and ‘things’ are examined as symbolic paraphernalia, empirical phenomena that provide insights to overarching narratives about identity, nationalism and integration. The discussion and eventual decision on the choice of euro coin faces in Malta is proposed as one that illustrates a process of ‘nascent nationalism’. Meanwhile, the arrival of boatloads of undocumented migrants on Malta's shores has also encouraged the evolution of a secular, national character in Malta. Such episodes, and others, ultimately reflect a need for symbols of national unity that remain largely absent in this ‘nationless state’ which continues to be gripped by a bipolar partisanship that spares almost no one.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.150
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.284
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), 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

Citations16
Published2009
Admission routes1
Has abstractyes

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