‘Change is Only Part of the Answer’: An Interview with Kim Halford
Bibliographic record
Abstract
Kim Halford has conducted major research on the determinants of relationship satisfaction and stability, and how to promote healthy couple relationships both through relationship education for currently well‐functioning couples, and through couple therapy for distressed couples. Kim is Professor of Clinical Psychology at Griffith University, and Director, Queensland Cancer Fund, Griffith University Cancer Support Centre. He is the author of Brief Couple Therapy: Helping Partners Help Themselves; Australian Couples in Millennium Three: A Research and Development Agenda for Marriage and Relationship Education , co‐author of Clinical Handbook of Marriage and Couples Interventions ; Report to the Australian Psychological Society on the Status and Future Directions of Health Psychology in Australia; Couple CARE: The Couple Commitment and Relationship Enhancement Program, Couple Guidebook (in press). He is also author or co‐author of over 90 book chapters, journal articles and audiovisual productions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".