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Record W2506988217 · doi:10.1057/9780230241664_9

Dialect Use and Discursive Identities of Migrants from the West in Eastern Germany

2009· book-chapter· en· W2506988217 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2009
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistic research and analysis
Canadian institutionsUniversity of WaterlooUniversity of Alberta
Fundersnot available
KeywordsGermanContext (archaeology)Identity (music)SociologyPoliticsLinguisticsGender studiesHistoryAestheticsPolitical scienceArtLawPhilosophy

Abstract

fetched live from OpenAlex

This chapter1 investigates the connection between dialect use, identity and migration in the German context. In particular, we are concerned with the ways in which individuals from western Germany2 who moved to the eastern German region of Saxony after the fall of the Berlin Wall in 1989 use the Saxon dialect — which they hear on a daily basis in their everyday surroundings — to make various aspects of their selves and others relevant in the interaction. The process of doing this is also one of relating their individual identities to social categories that are present in their environment. In our analysis, we look specifically at the ways in which these people use the local dialect of their new surroundings -often with other linguistic material — in order to draw attention to the relationship between existing social categories and identities. In contrast with many of the other chapters in this volume, this approach can be characterized as a focus on the ‘lower-case d discourse’ analysis of the German language in interaction, rather than an analysis of the ‘capital D discourses’ which are concerned with the social and political processes that shape the production of German texts (Gee [1999] 2005; see also Cerná, Carl and Stevenson, Horner, this volume).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.246
Teacher spread0.202 · 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