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Record W7128538403 · doi:10.64903/1480-6800-27.2.160

Facing the Dark Side of Society: Identifying Sexual Offenders’ Reasoning in the West Bank of Palestine

2024· article· W7128538403 on OpenAlexaffvenue
Kifah Manasra, Saïd Bergheul

Bibliographic record

VenueArab world geographer · 2024
Typearticle
Language
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsPsychopathyTortureRehabilitationPrisonPalestineMental healthWest bankHomogeneousSexual abuse

Abstract

fetched live from OpenAlex

This study aimed to develop a profile of male sex offenders in Palestinian society, by using a qualitative research approach. A sample of 37 sex offenders institutionalized in different Palestinian rehabilitation centers, including the Dar Al-Amal Juvenile Rehabilitation Center in Ramallah, were interviewed. Data was collected using interviews, observations, and the examination of each offender’s case files, which included sociodemographic data, physical and mental health, inmate risk assessment, and a psychopathy checklist. Findings showed that the offenders belong to a relatively homogeneous group in terms of demographic and criminal data. The majority are married, aged 18-27 years and 50 years or older at the time of committing the crime, have low levels of education, and the most common crime committed is rape. Most of them have no relationship with the victim, come from broken families, and have suffered abuse and torture by their families and Israeli Occupation forces at an early age. They have a history of anti-social behaviour. The results also showed clear cognitive distortions and imbalances as well as some individuals suffering from psychiatric disorders and disturbances.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.007
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.316
Teacher spread0.279 · 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 designObservational
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
Published2024
Admission routes2
Has abstractyes

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