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Record W2916152820

Mobilità e relazioni affettive : uno sguardo interdisciplinare

2018· article· it· W2916152820 on OpenAlexfundno aff
Milena Belloni, Silvia Bruzzi, Valentina Fusari

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2018
Typearticle
Languageit
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsnot available
FundersMcGill University
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

IntroduzioneL'esplorazione della mobilità geografica al di là di convenzionali spiegazioni push-pull è al centro dei contributi di questo dossier.La consapevolezza che gli individui e le famiglie decidono di migrare o di spostarsi altrove non solo per fuggire da guerre o per trovare migliori condizioni salariali, ma anche per seguire aspirazioni di studio, di vita e sentimentali non realizzabili nel contesto in cui risiedono, è ormai largamente condivisa tra gli studiosi di migrazioni.Questa consapevolezza ha fatto sì che, nel corso degli ultimi due decenni, un numero crescente di studi si sia focalizzato sui vissuti, le esperienze e gli immaginari di coloro che vorrebbero emigrare o sono emigrati.Per rendere conto delle ragioni per cui le persone si spostano è necessario non solo comprendere le condizioni strutturali (economiche, politiche) in cui si trovano e le risorse che hanno a disposizione per farlo, ma anche ripercorrere gli immaginari dei protagonisti, le loro aspirazioni e desideri (

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)0.004
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.004
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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