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Record W2949532154

FROM STIGMA TO COMMUNITY’S DISCRIMINATION: THE EXPERIENCE OF 16 FORMER PRISONERS IN MALAYSIA

2019· article· en· W2949532154 on OpenAlexfundno aff
Mohd Alif Jasni, Siti Hajar Abu Bakar Ah, Jal Zabdi Mohd Yusoff, Nini Syaheera Jasni, Khairiyah Md. Shahid, Noralina Omar, Zaiton Azman

Bibliographic record

VenueScientific Repository (Petra Christian University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsPrisonStigma (botany)ResidenceCriminologyPsychologySocial psychologySociologyPsychiatryDemography
DOInot available

Abstract

fetched live from OpenAlex

Discrimination and stigma have been found to be one of the foremost factors that thwarted former prisoners to integrate well when released from prison. The effects of the discrimination that caused the former prisoners to be marginalized and disowned when to live in the original place. Rejection from the community of origin causes the former prisoner to fail to integrate smoothly and tends to re-engage in criminal life. In-depth interviews have been conducted on 16 former prisoners regardless of the type of offense committed. The analysis of the study has brought identification to the following three situations when respondents are in the community; (1) are excluded or not accepted by the neighboring residence, (2) neighbors do not want to know their presence, and (3) they are labeled with various embarrassing calls. These empirical findings can lead to the suggestion of a community-based program that can be implemented in bringing together former prisoners with the community as soon as they are released.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0020.002
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 head0.017
GPT teacher head0.255
Teacher spread0.239 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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