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Record W4367153233 · doi:10.7202/1083120ar

Shattered Nerves: Echoes of Greek Identity Resonating Through the Idiom of Nevra

2021· article· en· W4367153233 on OpenAlexaffabout
Spyridoula Xenocostas

Bibliographic record

VenueCulture · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEthnic groupOppressionNarrativeEmpowermentSociologyIdentity (music)Gender studiesContext (archaeology)Resistance (ecology)Transformative learningExpression (computer science)Social psychologyPsychologyAestheticsLiteraturePolitical scienceHistoryArtLawAnthropology

Abstract

fetched live from OpenAlex

This article examines narratives onnevraas told by first generation Greek women in Montreal. It exploresnevraas an active expression and transformation of Greek ethnic identity. As an expressive form,nevragives voice to various cultural, social and economic pressures within the Greek immigrant context. At the same time, however, in acting as a mechanism of social adjustment to the complex and contradictory forces that impact the individual, the experience ofnevraassumes a transformative role in the manner in which ethnic and gender related identities are perceived and lived. In consciously manipulating the idiom ofnevraGreek immigrant women can critically reflect and modify the sources of their oppression. This form of "resistance" however, in the absence of any concrete empowerment strategies, does not permit them to overcome overwhelming social forces imposed by family, community and society, and does not significantïy transform constraints of both culture and gender.

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)0.001
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.015
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.356
Teacher spread0.293 · 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
GenreOther

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

Citations1
Published2021
Admission routes2
Has abstractyes

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