Bibliographic record
Abstract
Foreword: John Weinman (King's College London).1. Health Psychology In Practice: Introduction: Susan Michie And Charles Abraham.Part I: Training Models:.2. Training In Health Psychology: The UK Model: Susan Michie, Charles Abraham And Marie Johnston (University Of St Andrews).3. International Commentaries: The European Framework: Teresa Mendonca Mcintyre (University Of Minho) Susan Folkman (University Of California At San Francisco) Susan J. Paxton (La Trobe University) Hannah Mcgee (Royal College Of Surgeons In Ireland) Denise De Ridder And Karlein Schreurs (Utrecht University) And Teresa Mendonca Mcintyre.Part II: Research:.4. Using Theory In Research: Charles Abraham.5. Planning Research: Design, Sample, Measures: Stephen Sutton (University Of Cambridge) And David P. French (University Of Birmingham).6. Analysing And Reporting Data In Health Research: Daniel B. Wright And Kate Kelley (University Of Sussex).7. Designing And Conducting Qualitative Studies: Sheila Payne (University Of Sheffield).8. Planning And Conducting Systematic Reviews: Mark Petticrew (University Of Glasgow) And Simon Gilbody (University Of Leeds).9. Writing Grant Applications: Stanton Newman (University College London).10. Writing For Publication: Susan Michie And Robert West (St George's Hospital Medical School, London).Part III: Consultancy And Interventions:.11. Using Theory In Psychological Interventions: Gerjo Kok And Herman Schaalma (Maastricht University).12. Consultancy: Planning, Implementation And Evaluation: Louise Earll (Gloucestershire Royal Hospital) And Julian Bath (Gloucestershire Royal Hospital).13. Health Psychology Within Organizational Contexts: Eamonn Ferguson (University Of Nottingham) And Maire Kerrin (City University London).14. Changing Behaviour To Improve Health: Paul Bennett (University Of Wales, Swansea) Mark Conner (University Of Leeds) And Gaston Godin (Laval University).15. Studying And Changing Health Care Professionals' Behaviour: Anne Walker (University Of Aberdeen).Part IV: Training And Teaching:.16. Developing And Evaluating Training And Teaching: Helen Winefield (University Of Adelaide).17. Supervising Effectively: Sandra Horn (University Of Southampton).Part V: Professional Roles And Practice:.18. Health Psychology Within Health Service Settings: Claire N. Hallas (Royal Brompton & Harefield NHS Trust, UK).19. A Framework For Professional Practice: Susan Michie.Index
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 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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.200 | 0.162 |
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".