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Record W7115600670 · doi:10.82396/cjcd.v7i2.3012

Women Survivors' Experiences of the Intersection of Abuse and Work

2021· article· en· W7115600670 on OpenAlexaff

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMeaning (existential)NarrativeContext (archaeology)Perspective (graphical)Work (physics)Abusive relationshipDomestic violenceIntersection (aeronautics)Social work

Abstract

fetched live from OpenAlex

Abuse creates barriers that effect women’s ability to enter the paid work force: barriers that persist long after initial supports have been exhausted. The present paper examines the questions: how do women make meaning of the ways in which they have experienced the intersection of abuse and work after they have been away from abusive experiences for a period? Five women volunteered for extensive one-on-one interviews employing a narrative methodology. The long-term affects of abuse experiences resulting in loss of mental and physical health, educational and work experiences, self-esteem and self-efficacy, voice and emotional support, and loss of a sense of safety in the world was a major across participant theme. Additional themes included readiness for change, housing issues, and working for change with other women. Implications for career counselling practice, from the perspective of a social constructivist career theory, emphasize counselling in the context of women’s whole lives, the importance of hearing women’s stories of abuse, understanding the nature of complex trauma and the need for long-term targeted support in employment programs.

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)0.005
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0040.003
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland)→Same topicIntimate Partner and Family Violence→French-language works237,207→