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Record W2065042264 · doi:10.1556/aethn.59.2014.1.7

Romani individuality? Ethnographic examples of distinctive social action within a local Czech Romani population

2014· article· en· W2065042264 on OpenAlexaff
Natasha Beranek

Bibliographic record

VenueActa Ethnographica Hungarica · 2014
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsYork University
Fundersnot available
KeywordsCzechSociologyEthnographyAgency (philosophy)SocialityOptimal distinctiveness theoryIndividualismPoliticsAction (physics)PopulationNarrativeAnthropologyEpistemologyGender studiesSocial scienceSocial psychologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

This paper explores how members of a Romani population in a small Czech town perform individualistic actions that distinguish them from other persons in their families and social circles. After an overview of how these informants achieve cultural compromises in their daily lives that serve to reinforce their agency as mothers in the private sphere, I will present different narrative portions from their life histories that highlight possible examples of individuality — social actions that lead to personal rather than categorical distinctiveness. This paper considers if the experience of individuality is compatible with one’s identification as a Rom and what kind of local contextual factors and macro-level discourses inhibit or favor individualistic action and expression. These questions are examined in conjunction with writings and debates that pertain to Czech(oslovak) Romani sociality and culture. This essay also draws on discussions of individuality from the fields of anthropology, sociology, social psychology and the political sciences.

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 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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.110
GPT teacher head0.413
Teacher spread0.303 · 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 teacher head, not a consensus.

Study designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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