Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Part 1 Overview of Constructivism Chapter 1 Constructivism: What does it mean for career counselling? Wendy Patton (Queensland University of Technology, Australia) and Mary McMahon Chapter 2 Career Counselling Theory, Culture and Constructivism Mark Watson (University of Port Elizabeth, South Africa) Chapter 3 Usefulness and truthfulness: the limitations and benefits of constructivist approaches for career education, guidance and counselling Hazel L Reid (Canterbury Christ Church University College, England) Part 2 Constructivism, Culture and Career Counselling Chapter 4 The Systems Theory Framework: A conceptual and practical map for career counselling Mary McMahon and Wendy Patton (Queensland University of Technology, Australia) Chapter 5 Active Engagement and the Influence of Constructivism Norman E. Amundson (University of British Columbia, Canada) Chapter 6 The use of narratives in cross-cultural career counselling Kobus Maree and Jacobus Molepo (University of Pretoria, South Africa) Part 3 -- Constructivist Approaches to Career Counselling Chapter 7 Career narratives Elizabeth M. Grant and Joseph A. Johnston (University of Missouri, USA) Chapter 8 Using a solution-building approach in career counselling Judi Miller (University of Canterbury, New Zealand) Chapter 9 Sociodynamic counselling Timo Spangar, Finland Chapter 10 Working with storytellers: A metaphor for career counselling Mary McMahon Chapter 11 Creative approaches to career counselling Mary McMahon Chapter 12 Constructivist career assessment Mary McMahon and Wendy Patton (Queensland University of Technology, Australia) Part 4 -- Constructivist Career Assessment Chapter 13 Card Sorts: Constructivist Assessment Tools Polly Parker (The University of Auckland, New Zealand) Chapter 14 Constructivist tools on the Web Heidi Viljamaa (Careerstorm, Finland)
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.
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) | 0.011 | 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 it