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Record W2950620572 · doi:10.1080/1369183x.2019.1627862

‘Solidarity’ in the migration and refugee literature: analysis of a concept

2019· article· en· W2950620572 on OpenAlexaff
Harald Bauder, Lorelle Juffs

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsToronto Metropolitan University
FundersEuropean Commission
KeywordsSolidarityTypologyScholarshipRefugeeNormativeHospitalitySociologyPoliticsGender studiesPolitical scienceSocial scienceEpistemologyLawAnthropology

Abstract

fetched live from OpenAlex

The concept of solidarity has a long history in the social sciences and humanities, and has received considerable attention in recent migration and refugee scholarship. However, there is no consistent definition of or approach to this concept in this literature. Rather, various types of solidarity with different philosophical underpinnings coexist. In this article, we draw on existing solidarity scholarship to develop a typology of the concept of solidarity; we then apply this typology to a systematic sample of recent scholarly migration and refugee articles. Our results show the complex, multi-dimensional, and normative application of the concept of solidarity in this sample. We find that various types of solidarity align with particular themes, such as religion and family, European Union refugee politics, humanitarianism and hospitality, and migrant activism and labour organising. Nevertheless, there is considerable overlap and connections between types.

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)0.013
metaresearch head score (Gemma)0.019
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 score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0120.016
Science and technology studies0.0120.038
Scholarly communication0.0100.015
Open science0.0020.013
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.375
Teacher spread0.333 · 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

Citations77
Published2019
Admission routes1
Has abstractyes

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