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Record W4393250585 · doi:10.59451/jami.40077

BREAKING FREE: HEALING PHYSICAL, VERBAL, AND SEXUAL ABUSE THROUGH THE BONNY METHOD OF GUIDED IMAGERY AND MUSIC

2014· article· en· W4393250585 on OpenAlexaff
Amy Clements-Cortés

Bibliographic record

VenueJournal of the Association for Music and Imagery · 2014
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsVerbal abuseSexual abusePsychologyGuided imageryApplied psychologyPoison controlHuman factors and ergonomicsMedicinePsychiatryMedical emergencyAnxiety

Abstract

fetched live from OpenAlex

The following case study is of Mary, a 29-year-old female, and her Bonny Method of Guided Imagery and Music (GIM) process covering ten sessions spanning over one year. Several concerns from Mary’s past surfaced in the GIM sessions, and Mary chose GIM to help her move past her issues of abuse. This paper provides background information on several subjects that were central to Mary's therapeutic process including adoption and consequent identity, and physical and sexual abuse. GIM sessions offered Mary the opportunity to break free from anger and resentment, and through the healing process she was able to grieve and prepare for the next transition in her life.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.046
GPT teacher head0.358
Teacher spread0.311 · 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 designNot applicable
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

Citations8
Published2014
Admission routes1
Has abstractyes

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