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Record W6991577768

HOMENS EM SITUAÇÕES DE TRATAMENTO DAS DROGAS: o perfil do interno

2019· article· pt· W6991577768 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsnot available
Fundersnot available
KeywordsMedicalizationPunitive damagesCharterPublic healthDrug treatmentDescriptive researchCriminalizationQualitative research
DOInot available

Abstract

fetched live from OpenAlex

Introduction: In democratic countries, the policies used for drug abuse were initiated through the criminalization and medicalization discourse, in which the user is the responsibility of the state and the judiciary, and most of the time is subjected to hospitalization through excess. Trying to establish actions that go beyond health care, where in 1986 the Ottawa Charter puts health on the priority agenda of politicians and leaders at all levels and sectors, drawing their attention to the consequences their decisions can have on health and to accept their political responsibilities to health. Objective: To identify the profile of inmates in drug treatment situations in a city in the interior of Minas Gerais State, Brazil. Methodology: This is a descriptive quantitative and qualitative approach study with men who used drugs and are undergoing treatment in a Chemical Dependency Clinic restricted to male care with 100 inmates. Considerations: Sixty-one men aged 12 to 61 years participated in the study, where most inmates (38%, n = 28) are in the age group of 31 to 40 years, followed by 18% (n = 11) with 25 to 30 years. Length of stay varies from 10 days to 4 years, where 49% (n = 30) are hospitalized within 1 month to 3 months, followed by 30% (n = 18) within 4 to 6 years. months. Regarding lifetime use, alcohol and tobacco were identified as the most commonly used drugs over time (92%, n = 56 for both), followed by cannabis 84% ??(n = 51), cocaine and / or crack, anxiolytics, hypnotics and sedatives 75% (n = 46 for both drugs), inhalants 52% (n = 32), hallucinogens 33% (n = 20), stimulants such as amphetamines and escstasy 26% (n = 16) and opioids 11% (n = 7). This study showed that alcohol and tobacco, being legal and highly stimulated drugs in the media, make the use of it intensely compared to illegal ones. This use too is surely the gateway to the dependency. Given this identified problem, we realize the need for greater intervention by public policies, focusing not only on illicit drugs, but especially in relation to alcohol and tobacco.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.281
Teacher spread0.256 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

Explore more

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