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Record W4401551297 · doi:10.1177/08861099241267940

“Is She Imminently Fleeing?”: How Discursive Practices Shape Crisis Center Service Delivery and Exacerbate Existing Vulnerabilities for Survivors

2024· article· en· W4401551297 on OpenAlexaboutno aff
Anna Mullany

Bibliographic record

VenueAffilia · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsnot available
FundersUniversity of Massachusetts Amherst
KeywordsSociologyEthnographyContext (archaeology)PoliticsService providerPublic relationsGender studiesWork (physics)Service delivery frameworkService (business)CriminologyPolitical scienceLawBusinessEngineering

Abstract

fetched live from OpenAlex

Within the U.S., the struggle for women's safety from intimate partner violence was brought into the national discourse with the Battered Women's Movement (BWM) of the 1960s, 1970s, and 1980s. Volunteer-run “safe homes” would soon become bureaucratized with the concomitant rise of the nonprofit industrial complex (NPIC) and the repression of larger socio-political movements. These forces resulted in today's 501(c)3 crisis centers which are governed by stringent service eligibility requirements that define the parameters of their practice. Informed by eight months of ethnographic field work at a rural crisis center in New England, this article analyzes one part of the nonprofitization of the BWM – that of professional discourse. Drawing on the work of Canadian feminist sociologist Dorothy Smith, I utilize the theoretical and methodological tenets of institutional ethnography (IE) to examine one dominant discursive practice – “Is she imminently fleeing?” This discursive practice reveals how officialdom adversely impacts survivors’ lives. This study contributes to our understanding of how language concretely plays out in the daily operations within the crisis center. This work builds on the literature that exposes the fault lines of the NPIC in the U.S. context and serves to expand the work of IE as a vital investigative research lens.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.058
GPT teacher head0.345
Teacher spread0.287 · 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.

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
Published2024
Admission routes1
Has abstractyes

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