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Record W3012495475 · doi:10.1177/1053825920911958

Adventure Therapy and Routine Outcome Monitoring of Treatment: The Time Is Now

2020· article· en· W3012495475 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Experiential Education · 2020
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAdventureOutcome (game theory)AlliancePsychologyPsychotherapistClinical PracticeMedicineMedical educationComputer scienceNursingPolitical science

Abstract

fetched live from OpenAlex

Background: Routine outcome monitoring (ROM) was popularized in the mid-1990s to improve client outcomes in psychotherapy, though implementation in clinical practice has been slow. Although increased outcome research in adventure therapy (AT) in the last decade has demonstrated AT as a viable treatment option, recent reviews have found worrying trends regarding research methodology and poorly substantiated claims of superiority. Purpose: The purpose of this article is to explore the potential for ROM in AT. Methodology/Approach: We conducted a brief review of the literature on ROM and offered a discussion that positions principles of ROM with the nascent knowledge base of AT. Findings/Conclusions: We propose ROM is a viable next step in AT research and practice. ROM can explore when change is likely to occur during an AT program and provide a platform for improving client engagement and outcomes. Implications: We recommend implementation of ROM in AT and that future AT research explore therapist effects and important therapeutic factors, such as the therapeutic alliance and deterioration.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score1.000

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)0.0010.000

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 head0.041
GPT teacher head0.377
Teacher spread0.336 · 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