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Record W3037750831 · doi:10.1177/0896920520936332

Urban Solidarity: Perspectives of Migration and Refugee Accommodation and Inclusion

2020· article· en· W3037750831 on OpenAlexafffund
Harald Bauder

Bibliographic record

VenueCritical Sociology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsToronto Metropolitan University
FundersH2020 Marie Skłodowska-Curie ActionsSocial Sciences and Humanities Research Council of Canada
KeywordsSolidarityRefugeeCitizenshipPoliticsAppealPolitical scienceInclusion (mineral)SociologyAccommodationPublic administrationPolitical economyGender studiesLaw

Abstract

fetched live from OpenAlex

The concept of solidarity and related policies and practices are central to many urban initiatives throughout the global north that support vulnerable migrants and refugees. In this paper, I unpack various meanings of the concept of solidarity within urban migrant- and refugee-supporting initiatives and campaigns. Drawing on expert interviews with activists, community leaders, and municipal administrators and politicians in Berlin and Freiburg, Germany, and Zurich, Switzerland, I show the complexity and contradictory manner in which urban solidarity is understood and practiced. While urban solidarity may appeal to a wide political spectrum and incorporate top–down policies and bottom–up practices and approaches, urban actors also embrace various terminologies, such as Solidarity City and urban citizenship, in response to local circumstances and political strategies.

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0130.041
Scholarly communication0.0090.006
Open science0.0010.013
Research integrity0.0020.003
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 head0.027
GPT teacher head0.343
Teacher spread0.316 · 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
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

Citations53
Published2020
Admission routes2
Has abstractyes

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