Education in the Commonwealth : the first forty years : from Oxford to Halifax and beyond
Bibliographic record
Abstract
Acknowledgements Foreword Don McKinnon, Commonwealth Secretary-General Introduction Lalage Bown List of Abbreviations Part One: The History Chapter 1 From Oxford to Halifax: Forty Years of Commonwealth Co-operation in Education Peter Williams Part Two: Themes and Concerns Chapter 2 Education for All in the Commonwealth: What are the Issues? John Daniel Chapter 3 Gender in Education: Overview of Commonwealth Strategies Jasbir K. Singh Part Three: Spotlight on Science, Technology and Mathematics Education Chapter 4 The Road from Oxford to Halifax: Snapshots of Science, Technology and Mathematics Education Ved Goel Chapter 5 Skills for Survival: Technical and Vocational Education and Entrepreneurship W. Bonney Rust Part Four: Higher Education: Innovation and Argument Chapter 6 Open and Distance Learning - Innovation in the 1990s: The Commonwealth of Learning Cajaraj Dhana rajan Chapter 7 Building Bridges for Education in the Commonwealth: Issues in Student Mobility Lalage Bown References Appendices Notes on Contributors
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.003 |
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".