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Record W2050848370 · doi:10.3167/aia.2009.160206

Franco-Ontarian Women and Multiple Positions of Identity and Belonging: A Study from Northern Ontario, Canada

2009· article· en· W2050848370 on OpenAlexaboutno aff
Jane Roberts

Bibliographic record

VenueAnthropology in Action · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationHabitusSociologySocial connectednessIdentity (music)Cultural capitalSocial capitalAgency (philosophy)EthnographyGender studiesSocial identity theoryStructure and agencyEpistemologySocial reproductionSocial psychologySocial scienceSocial groupAnthropologyPsychologyAesthetics

Abstract

fetched live from OpenAlex

While Putnam's communitarian conceptualization of social capital has significantly influenced our understanding of community cohesion, the concept of social capital is highly contested. Questions have been raised about the ways in which agency and power operate in a community's sense of connectedness. Within this critique, little attention has been paid to the conceptualization of cultural identity when framed in dominant constructions of social capital. This paper contends that Bourdieu's critical perspective on social capital is better placed to examine the complex relationships between multiple, conflicting and overlapping positions of cultural identity with a sense of belonging. In addition, a Bourdieurian analysis acknowledges that the dynamic relationships of habitus, capital and field produce multiple identities associated with conflicting notions of connectedness which are contextually contingent. The paper argues that ethnography is best placed to offer a different perspective to de-contextualized data, and supports any examination of identity and belonging as best viewed within the context in which such concepts develop and are situated.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.076
Threshold uncertainty score0.555

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0320.006
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.310
Teacher spread0.292 · 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 designQualitative
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

Citations1
Published2009
Admission routes1
Has abstractyes

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