The Psychology and Education of Gifted Children (Psychology Revivals)
Bibliographic record
Abstract
Originally published in 1977, this book looks at the problem of educating highly intelligent and gifted children, which it felt was of paramount importance to modern society. In the 1970s education increasingly focused on average pupils, and often made excellent provision for handicapped children, the authors felt it all the more important for teachers, parents and educationalists generally to be made aware of the special needs of the bright and talented, and how they could best be catered for. In this book Professor Vernon and his two co-authors discuss the provision of special facilities for the education of these children at the time, particularly with reference to the UK and Canada. The serious losses to society when the gifted and specially talented are ignored or repressed are pointed out and the merits and difficulties of alternative schemes are underlined. Detailed consideration is given to the psychological origins and nature of intelligence (both genetic and environmental) and of creativity and special talents (artistic and scientific), and also to available tests and other techniques for identifying exceptionally able children. The book was particularly intended to help teachers and educational administrators of the time, together with the parents of very bright children.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".