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Record W2049906563 · doi:10.5539/ass.v5n9p84

Living Conditions and the Path to Healing Victim’s Families after Violence in Southern Thailand: A Case Study in Pattani Province

2009· article· en· W2049906563 on OpenAlexvenueno aff
Apiradee Lim, Chamnein Choonpradub, Phattrawan Tongkumchum, Sarawuth Chesoh

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWifeUnrestPsychologyMedicineDemographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

This study aimed to investigate the living conditions of victims’ families from the unrest in Pattani, Thailand, and to evaluate the success of the “healing victims’ project”. A total of 284 victim families in Pattani province were interviewed during January to October 2007. The informants were most commonly the victims’ wife (73%), were on average 42.2±12.8 years of age. The majority of victims were male (95.8%), were the head of the family (84.5%), of working age (45.9 ± 12.4). 51.4% were Muslim. Most were married (85.9%) and 88.5% of the victims had children. The most common educational level was primary (48.8%) and the most common occupation was agriculture (19%). Most were shot (88%) and 65.1% died. Of all victims, 19.4% incurred asset damage. There were a median of 3 (0 - 9) dependents per family. Aspects of family life that deteriorated most severely after the assault were their sense of personal security and total value of their assets (70.4%) followed by stress (66.6%) and financial problems (65.9%). Aid was received from either government or private sectors by 96.5% of families but 64.1% reported that it fell short of needs. The most urgent need for aid was financial (40.6%), scholarship for children (22.6%) and personal security and assets (16.6%). In practice the most frequent aid received was financial (92.7%). There were 732 children from 284 victim families. The average age was 17.1 ± 10.4 years and 54.2 % were female. Although most of victims’ families received some aid, there is a need to monitor system and comprehensive and swift assistance for those affected.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.313
Teacher spread0.301 · 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 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

Citations2
Published2009
Admission routes1
Has abstractyes

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