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Behind Locked Doors: Understanding the Lived Experiences of Persons Deprived of Liberty in Detention and Correctional Facilities

2023· article· en· W4384855867 on OpenAlexfundno aff
Jiffrey B. Saguran, Jenny C. Cano, Elvira P. Llantos, Jimson E. Esnardo, Alben C. Banac, Melina G. Gabon, Arturo A. Tagle

Bibliographic record

VenueInternational Journal of Science and Management Studies (IJSMS) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
FundersSaint Paul University
KeywordsMental healthAutonomyPsychologyCriminologyPolitical scienceLawPsychiatry

Abstract

fetched live from OpenAlex

Individual difficulties and significant effects on physical, emotional, and social well-being characterize the experiences of Persons Deprived of Liberty (PDL). They usually experience a loss of autonomy, limited mobility, and restricted access to opportunities and resources when they are housed in correctional facilities or detention centers. This study aimed to determine the lived experiences of PDL inside the jail using a phenomenological qualitative research approach. Five PDL, five custodial/police officers, and two human rights officers from southern part of the Philippines were the informants of the study. Results revealed that the PDL have been treated well by the custodial or police officers, however, inadequate food and poor facilities such as ventilation, toilet, and detention centers are evident. The facilities do not have space where the PDL can do some physical exercise. The facility has also not established a program that promotes the mental and emotional wellbeing of its PDL. Although they are given quiet time to pray in their cells, there is no place dedicated for the inmates to practice whatever religion they have. Also, close visits with the inmates have been prohibited during Covid-19 pandemic andonly the cell leaders and police officers keep the PDL sanity and well-being. Therefore, it is recommended that the authorities adhere carefully to the national standards for detention facilities in order to provide a compassionate supply of basic necessities and ensure the mental and emotional health of the PDL.

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)0.005
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.021
Scholarly communication0.0070.009
Open science0.0020.011
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.361
Teacher spread0.273 · 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
Published2023
Admission routes1
Has abstractyes

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Same venueInternational Journal of Science and Management Studies (IJSMS)Same topicCriminal Justice and Corrections AnalysisFrench-language works237,207