Bibliographic record
Abstract
The Routledge International Encyclopedia of Education is a unique and major resource for the field of education. It is a comprehensive, single-volume work, arranged alphabetically and comprising around 600 entries. The entries range from definitions of key educational concepts and terms to biographies of key educators and specially written substantial essays on major educational topics. The volume includes authoritative and critical commentary on historical and contemporary themes; examinations of continuities, changes and emerging issues; and discussions of the educational traditions and features of major countries and continents. The following special features are also included: Unrivalled coverage of education in a single volume Entries by leading international educational researchers Contributors drawn from all over the globe, including Australia, Brazil, Canada, China, Finland, India, Israel, Japan, New Zealand, South Africa, the United Kingdom and the United States A distinguished international advisory board Fully cross-referenced and indexed Suggestions for further reading Offering insight into the world of education in an interesting, informed and sometimes provocative way, The Routledge International Encyclopedia of Education is an invaluable work of reference for educators, students, researchers and policy makers in education and related fields internationally.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.006 | 0.028 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.140 | 0.086 |
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".