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Record W2258206577

CENTRALITY OF ITALY IN THE MEDITERRANEAN MIGRATION SYSTEM: ASPECTS OF FOREIGNERS’ PRESENCE

2014· article· it· W2258206577 on OpenAlexaboutno aff
Ştefania Girone, Sabin Drăgulin, Sara Grubanov-Bošković

Bibliographic record

VenueInstitutional Research Information System University of Turin (University of Turin) · 2014
Typearticle
Languageit
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ImmigrationRecessionEmigrationMediterranean climateOrder (exchange)Development economicsGeographyEconomic geographyHuman migrationCentralityEconomyPolitical scienceEconomicsPopulationSociology
DOInot available

Abstract

fetched live from OpenAlex

Nowadays the Mediterranean confirms itself, much more significantly than in the past, as a place where considerable migration flows take place as well as a geographical area that holds together emigration countries but also immigration and transit countries. There is a more widespread perception of being part of a World in constant motion whose actors are being driven by factors of different nature, all of which linked by a common cause: the desire – and in some cases the need – to find elsewhere better life conditions 2 . In this sense, the area of the Mediterranean Basin represents a case of high interest since it constitutes, together with North America (USA and Canada), one the main areas of attraction for long-range as well as short and medium range flows that originate, mostly, from the areas commonly defined as developing countries. The end of the Seventies, following the oil crisis (1973), triggered a period of recession which induced all developed countries to reassess their economic strategies, generating a complete transformation of the global economy, including the Euro-Mediterranean one. In this context, a new phase of the Mediterranean migration process has unfolded bringing, among others, changes regarding the direction of the flows, set off by the adoption of “stop” policies by the European Governments (such as France and UK) as a restrictive measure to the foreign labour force demand. This type of policy, set up in order to stop migration 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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0020.000
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 head0.066
GPT teacher head0.283
Teacher spread0.217 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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