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Record W2518660092

The Politics of Narrating Everyday Encounters: Negotiating Identity and Belonging Among Berlin’s German-Born Turkish Ausländer

2015· article· en· W2518660092 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNarrative Works · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishNarrativeGermanPoliticsGender studiesIdentity (music)NegotiationSociologyImmigrationContext (archaeology)Social identity theoryPolitical scienceSocial groupSocial scienceHistoryAestheticsLiteratureLinguisticsLawArt
DOInot available

Abstract

fetched live from OpenAlex

This paper is an applied narrative analysis of social encounters and their inherent relationality. The narratives analyzed are those of German-born, Turkish-background Berliners. Although their narratives relate to the specific context of Turkish immigration into Germany, they also shed light on the broader experience of negotiating diasporic identity and belonging, which makes them significant sources for understanding the politics of the Other. The narrative analysis I outline locates the dynamics of discursive messaging within the complexity of human encounters. Narrative is envisaged as one constituent of social interactions within complex processes of othering and the politics of making claims to identity and belonging. This is the struggle of the people who don’t fit and [don’t] belong neatly. (Leyla)1

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
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 head0.031
GPT teacher head0.344
Teacher spread0.313 · 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