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Record W4386028051 · doi:10.1080/09687637.2023.2247541

Personal strengths and resources that people use in their recovery from persistent substance use disorder

2023· article· en· W4386028051 on OpenAlexafffund
Myriam Beaulieu, Karine Bertrand, Joël Tremblay, André Lemaître, Marie Jauffret‐Roustide

Bibliographic record

VenueDrugs Education Prevention and Policy · 2023
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de SherbrookeUniversité de MontréalCégep Marie-Victorin
FundersCanadian Institutes of Health ResearchAgence Nationale de la Recherche
KeywordsIntrospectionConceptualizationThematic analysisPsychologyFocus groupPerspective (graphical)Qualitative researchSubstance useAddictionProcess (computing)Public relationsSocial psychologySociologyClinical psychologyPolitical scienceSocial sciencePsychiatryMarketingBusinessCognitive psychology

Abstract

fetched live from OpenAlex

Background The concept of recovery capital refers to the sum of resources that a person has available to initiate and continue a recovery process. This concept has not been greatly explored with people with persistent substance use disorder (SUD), whose recovery is often quite long.Method We conducted 19 qualitative interviews with 19 people (9 men, 10 women) with persistent SUD to understand the personal strengths they use in their recovery. A gender-differentiated thematic analysis of the transcripts was conducted.Findings The analysis paints a portrait of people who, despite their difficulties, managed to use their skills and develop new ones to confront their problems: introspection, perseverance, self-belief, knowledge about recovery, etc. For women in particular, the ability to assert themselves appears to have been a survival tool in their trajectory. For most of the participants, material and financial resources were most lacking in their recovery process. Faced with a precarious financial situation, several women spoke of the need to get organized and be proactive in finding ways to support themselves.Conclusion Contrary to a deficit-focused perspective, the concept of recovery capital leads us to focus on what is going well in these people’s lives.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.313
Teacher spread0.291 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2023
Admission routes2
Has abstractyes

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