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Record W6992723694

Migrantsâ new transnational habitus: rethinking migration through a cosmopolitan lens in the digital age

2014· other· en· W6992723694 on OpenAlexaboutno aff

Bibliographic record

VenuereroDoc Digital Library · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNexus (standard)CosmopolitanismICTSThe InternetReading (process)Through-the-lens meteringTransnationalismGovernmentality
DOInot available

Abstract

fetched live from OpenAlex

This article puts forward a cosmopolitan reading of international migration, focusing on the role played by ICTs in generating new ways of living together and acting transnationally in the digital era. After underlining some of the complex dimensions of the transnational debate and the limits of methodological nationalism, I will argue that revisiting the national–transnational nexus by adopting an ‘inclusive cosmopolitan’ stance would lead to a better understanding of the dialogically ubiquitous condition of the modern migrant. An analysis of Internet use by Romanian professionals in Toronto and their transnational families will shed light on the mechanisms through which ICTs produce connected lifestyles, enhance the capacity to harness otherness, and facilitate socialisation beyond borders, thus generating new transnational habitus.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.029
Scholarly communication0.0120.013
Open science0.0010.009
Research integrity0.0010.003
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 head0.023
GPT teacher head0.232
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreOther

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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