Bibliographic record
Abstract
This paper presents the case study of a 38-year-old female, "Joy," and her Guided Imagery and Music (GIM) process. Joy was born in Hong Kong and immigrated to Canada in 2008 to pursue further studies along with her husband. Joy is a music educator who was drawn to GIM to explore issues with her parents, husband, anxiety and stress in order to lead her to improved well-being and healing. This paper provides the relevant background information on GIM, and several important topics in Joy's therapeutic process, including: gender issues being raised in Hong Kong, effects of parental gambling on child development, identity development, and performance anxiety. Joy desired focus and longed for her inner voice to be freed. Joy also wanted to feel strong enough to assert her wishes as an Asian female in order to present herself authentically. GIM sessions provided Joy with the space to identify and explore her concerns, which led her to improved well-being and healing. GIM is a music psychotherapy intervention that is particularly well suited to work with music educators and musicians, due to their experience and connections to music.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".