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‘Reflections on Italy’s contemporary approaches to cultural diversity: The exclusion of the ‘Other’ from a supposed notion of ‘Italianness’

2021· article· en· W2607780851 on OpenAlexaboutno aff
Riccardo Armillei

Bibliographic record

VenueAustralian and New Zealand Journal of European Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsPluralism (philosophy)ColonialismDiversity (politics)EmigrationImmigrationNational identitySociologyIdentity (music)Political sciencePolitical economyGender studiesEthnologyAnthropologyLawAestheticsEpistemologyPoliticsPhilosophy

Abstract

fetched live from OpenAlex

For many years Italy has been described as a country of emigration. Only since the 1970s Italy has moved from being a net exporter of migrants to a net importer. Despite growing cultural and religious diversity, the implications of the pluralisation of the Italian society on national identity have been largely ignored. Italy has been recently described as a country without an established model of integration or pluralism.1 The so called ‘Italian way’ towards cultural diversity remained predominantly theoretical in character and not supported officially, in the sense of being incorporated into the nation’s history (as it is in Canada or Australia). The rise of ‘ethnonationalism’ and legacies of past colonialism contributed to create an institutional notion of supposed ‘Italianness’, which is based on the exclusion of the ‘Other’. During the Liberal and Fascist periods, colonialism was used to create and re-produce a strong sense of nationhood, re-composing the many internal divisions by racialising ‘otherness’ outside rather than inside the nation’s borders. This study suggests that, due to historical amnesia and a weak national identity, a similar logic is now informing the implementation of anti-immigration policies in Italy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.465

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 studies0.0010.000
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 head0.323
GPT teacher head0.354
Teacher spread0.031 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAustralian and New Zealand Journal of European StudiesSame topicItalian Fascism and Post-war SocietyFrench-language works237,207