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Record W4288039346 · doi:10.1080/13621025.2022.2103975

Congolese mothers, affective circuits and ‘acts of citizenship’ in Russia

2022· article· en· W4288039346 on OpenAlex
Alexia Bloch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCitizenship Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCitizenshipRefugeePoliticsEthnographyPower (physics)State (computer science)Gender studiesSociologyPolitical scienceCriminologyLawAnthropology

Abstract

fetched live from OpenAlex

With the intensified flow of refugees seeking asylum across Europe in recent years, scholars have increasingly turned their attention to the encounter between non-citizens and citizens. Drawing on long-term ethnographic fieldwork conducted in Russia (2015–2019) among non-citizens, including Congolese asylum-seekers, this article examines how Congolese women foster affective ties as a means of creating a sense of belonging in a largely unwelcoming place. In considering how asylum-seeking, Congolese women in Moscow invest in ‘affective circuits’ forged through their children as they move through the city, navigating NGOs, citizen-activists, and forms of state power, the article argues that these are political acts. These acts are shaped by racialized citizenship practices, as well as distinctive politics of reproduction in Russia.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.049
GPT teacher head0.333
Teacher spread0.284 · 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