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Record W2054212342 · doi:10.1177/0886109915572845

Understanding Community Resilience Through the Accounts of Women Living in West Bank Refugee Camps

2015· article· en· W2054212342 on OpenAlexaff
Anthea Darychuk, Suzanne F. Jackson

Bibliographic record

VenueAffilia · 2015
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsRefugeeWest bankPovertyPsychological resilienceLimitingCommunity resilienceResilience (materials science)Political scienceSocioeconomicsEconomic growthSociologyGender studiesCriminologyPsychologySocial psychologyPalestineHistoryEngineering

Abstract

fetched live from OpenAlex

Throughout the West Bank, 19 camps are home to more than 200,000 Palestinians, more than half of whom are female. The Israeli occupation and attendant poverty cause communities inside West Bank camps to live under stress and violence particularly limiting to women. Although often portrayed as “helpless victims of war,” little research has been done to explore how women understand their contributions to the resilience of refugee communities. Female refugees were interviewed about their household roles and community participation. This inquiry shows how female refugees navigate the impacts of gender on community resilience.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.020
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0200.015
Scholarly communication0.0070.008
Open science0.0020.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.155
GPT teacher head0.369
Teacher spread0.213 · 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

Citations34
Published2015
Admission routes1
Has abstractyes

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