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Record W2138727953 · doi:10.3109/09687637.2012.714015

The influence of lived experience with addiction and recovery on practice-related decisions among professionals working in addiction agencies serving women

2012· article· en· W2138727953 on OpenAlexaffabout
Gabriela Novotná, Maureen Dobbins, Susan M. Jack, Wendy Sword, Alison Niccols, Sandy Brooks, Joanna Henderson

Bibliographic record

VenueDrugs Education Prevention and Policy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsCentre for Addiction and Mental HealthMcMaster UniversityMcMaster Children's Hospital
Fundersnot available
KeywordsAddictionLived experiencePsychologyAgency (philosophy)Qualitative researchValue (mathematics)PsychiatryPsychotherapistSociology

Abstract

fetched live from OpenAlex

Aims: The study objectives were to: (1) understand the value attributed to the lived experience of addiction and recovery among professionals working in addiction agencies serving women in Canada and (2) describe how lived experience influence practice-related decision-making.Methods: A descriptive qualitative study was conducted with a purposeful sample of 26 addiction professionals from 24 addiction agencies. Subsequently, a secondary analysis was conducted to identify data that would provide greater insight into issues related to the use of lived experience in decision-making.Findings: Participants who either described their personal history of addiction or discussed the influence of others’ lived experience on decisions made within the agency indicated that: (1) some professionals perceive lived experience and research evidence as two dichotomous concepts, viewing lived experience as more credible than research evidence; (2) personal experience with a particular treatment can guide treatment decisions; (3) strong adherence to only one source of evidence leads to intra-organizational conflict and (4) different sources of evidence in decision-making need to be acknowledged to inform practice.Conclusion: The addiction field can benefit from increased understanding of decision-making as a multifaceted process involving different sources of evidence, including addiction professionals’ lived experiences of addiction and recovery.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.172
GPT teacher head0.570
Teacher spread0.398 · 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

Citations14
Published2012
Admission routes2
Has abstractyes

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