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Record W4367054254 · doi:10.1080/07347324.2023.2204819

Participant Experiences in Student Recovery Programs in Canada: An Interpretative Phenomenological Analysis

2023· article· en· W4367054254 on OpenAlexaffabout
Mack Park, Sara Fudjack, Kendall Soucie, Onawa LaBelle

Bibliographic record

VenueAlcoholism Treatment Quarterly · 2023
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of British ColumbiaUniversity of Windsor
Fundersnot available
KeywordsPsychologyMedical educationPublic relationsPolitical sciencePedagogyMedicine

Abstract

fetched live from OpenAlex

Student recovery programs are an emerging trend across university campuses in Canada, yet little is known about the experiences of students who utilize these programs. Canada’s first student recovery program launched in 2019, with six additional launching shortly thereafter. The current study offers a first look at the student experience in recovery programs at the first Canadian institutions to offer recovery support on campus. We used qualitative methods to examine individual recovery trajectories, program participation, stigma, barriers to recovery on campus, and the impact of a campus-based recovery program on various areas of their lives. Our findings highlight three main themes: (i) inclusivity and diversity of the programs, (ii) increasing recovery capital and dimensions of well-being, and (iii) reducing barriers to recovery on campus. The results inform how Canadian student recovery programs meet the needs of their students and identify areas for improvement using a recovery-informed lens to center the lived experiences of students in recovery. Findings from this initial study may drive the development of future student recovery programs at Canadian institutions and inform new initiatives by existing programs outside of Canada.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.254
GPT teacher head0.423
Teacher spread0.169 · 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 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

Citations11
Published2023
Admission routes2
Has abstractyes

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