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Record W4361287531 · doi:10.1163/23519924-09010003

A Man Without a Corner of His Own. Domestic Migration, Social Inequalities and Housing in Post-Second World War Rijeka

2023· article· en· W4361287531 on OpenAlexafffund
Francesca Rolandi

Bibliographic record

VenueJournal of Migration History · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAccommodationSocial exclusionInequalityWorld War IIPopulationSpanish Civil WarPolitical scienceInclusion (mineral)SociologyEconomic growthGender studiesEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract In the aftermath of the Second World War, the city of Rijeka experienced dramatic demographic changes. A significant part of the local population left for Italy, and domestic migrants arrived from the territories of the Yugoslav Federation. Besides the need to create a new urban fabric, the local authorities had to manage the chaotic – and often unorganised – influx of labour, that ranged from unskilled workers to party cadres. One of the main challenges that the city had to tackle was to provide newcomers with decent accommodation in what was then a war-torn city without proper housing. Housing became a barometer of how integrated a person had become, or how marginalised those at the bottom of the social ladder were. As the article argues, access to decent housing not only mirrored class differentiation but also fostered boundaries of exclusion or inclusion within the social fabric. Those living in makeshift accommodation were burdened by additional stigmatisation, despite them being integrated into the labour market.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.040
GPT teacher head0.290
Teacher spread0.250 · 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 designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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