Bibliographic record
Abstract
Contents List of Tables and Figures List of Contributors From Ontology to Methodology: Exploring the Discursive Landscape of Trust C.N.Candlin & J.Crichton PART I: TRUST IN HEALTH AND SOCIAL CARE Trust in what Others Mean: Breakdowns in Interaction between Adults with Intellectual Disabilities and Support Staff C.Antaki & W.M.L.Finlay Trust, Distrust, and Communication Accommodation among Hospital Doctors D.G.Hewett , B.M.Watson & C.Gallois Engendering Trust in a Multi-party Consultation Involving an Adolescent Patient C.O'Grady & C.N.Candlin Trust after Medical Incidents K.Beitat , G.Bentele & R.Iedema At the Boundaries of the Clinic: Discourses of Trust in Amputee Care L.Manderson & N.Warren Pursuing Trust in Child Protection Meetings: Familiarization and Informality C.Hall , A.Makitalo , S.Slembrouck & P.Doherty PART II: TRUST IN EDUCATIONAL ORGANISATIONS 'Will there be flowers shoved at me?': A Study in Organisational Trust, Moral Order and Professional Integrity J.Crichton Goffman's Theory of Self and the Social Order: Trust and Conflict in an Intercultural Education Workplace M.J.Torpey & N.H.Johnson PART III: TRUST IN FINANCIAL SERVICES Achieving Professional Trustworthiness: Communicative Expertise and Identity Work in Professional Accounting Practice A.Jones & S.Sin Producing Trust in Country Financial Narratives C.Bourne Trusting the High Street Bank: Understanding Consumer Trust in a Major Financial Institution J.Delin PART IV: TRUST IN LEGAL PROCESSES 'You say 'I'm sure' but you're not, are you?': Trust and Distrust in Police Interviews F.Rock The Role of Media Discourses in Undermining Trust in the Legal Profession R.Spencer Part V: TRUST IN SCIENCE AND TECHNOLOGY Nanotechnologies and Trust A.Anderson & A.Petersen The Discursive Production and Impairment of Public Trust through Rhetorical Representations of Science: The Case of Global Climate Change G.Smart Part VI: TRUST IN BUSINESS PRACTICES Trust or Betrayal: Immigrant Engineers' Employment-seeking Experiences in Canada J.Kerekes , J.Chow , A.Lemak & Z.Perhan Lack of Trust in the Organizational Context: A Study of Accounts in a Privatized Company M.do Carmo Leite de Oliveira , J.de Vilhena & J.de Vilhena Novaes Discourse Analysis, Trust and Marketing S.Halliday & M.Catulli Talking and Doing Trust in Community Relations H.Jackson
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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 | 0.009 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.017 | 0.021 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".