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Record W183106624 · doi:10.1177/070674370004500707

Who Uses Bibliotherapy and Why? A Survey from an Underserviced Area

2000· article· en· W183106624 on OpenAlexaffvenueabout
Susan Adams, Nancy L Pitre

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2000
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsLakehead Psychiatric HospitalWestern University
Fundersnot available
KeywordsBibliotherapyRespondentDemographicsPsychologyMental healthMEDLINEPsychotherapistMedical educationClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess which mental health therapists use bibliotherapy, their reasons for doing so, and rationale for recommending specific titles. To review the book selected most often in several categories, using prepublished criteria for reviewers of self-help books. METHOD: We sent a survey to all therapists in a Northern Ontario community requesting information on therapist demographics, the respondent's practice, the use of bibliotherapy, and details of the book most often prescribed in various categories. RESULTS: Of 112 surveys, 62 were returned, for a response rate of 55%. Sixty-eight percent of respondents indicated that they used bibliotherapy. The most common reason for recommending books was to encourage self-help. There was a significant relation between greater counselling experience and increased use of bibliotherapy. Three of the 5 books reviewed were based on empirical theory; only 1 met all the guidelines. CONCLUSION: Most therapists recommend books to their clients, but there is little empirical evidence of efficacy. Counsellors should review the books recommended and discuss them with the client. Client opinion should be solicited and effectiveness measured.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.056
GPT teacher head0.354
Teacher spread0.298 · 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 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

Citations58
Published2000
Admission routes3
Has abstractyes

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