Vol. LXXV (2017) - No. 268 Enriqueciendo el currículo para todo el alumnado [Enriching the curriculum for all students].
Bibliographic record
Abstract
What importance does the develop- ment of talent have? Can it, in fact, be handled? What is the biggest challenge for a teacher? Can the current teaching model be improved? These questions and many others will occur to anyone interested in the educational world or immersed in it. Enriching the curriculum for all students, by Joseph S. Renzulli and Sally Reis, allows the reader not only to answer each of these questions in depth, but also to discover a whole model for enriching students that opens up horizons for a world of educational possibilities that make it possible to achieve the aim of education and of educational activity: giving each student what he or she needs for optimal learning. Through in-depth knowledge of the strengths of the students, the SEM model (Schoolwide Enrichment Model) offers them the chance to acquire new knowledge and abilities that complete their education and enable them to rediscover the excitement of learning. , Joseph S. Renzulli, a professor at the University of Connecticut and the director of the National Research Center on the Gifted and Talented, has spent several decades working on studying and developing talent. His numerous publications include books such as Light up your child’s mind: Finding a unique pathway to happiness and success and articles like «What makes giftedness?», published in 1978. His most noteworthy honours include being named Board of Trustees Distinguished Professor at the University of Connecticut and being awarded an honorary doctorate in Law by McGill University, Montreal. One of his major achievements is the creation of the Confratute programme for teaching development and talent, of which Sally Reis is the co-director. Sally M. Reis, who is Vice Provost for Academic Affairs and a professor at the University of Connecticut also works as a researcher at the National Research Center on the Gifted and Talented. She has written over 140 articles, 11 books, and 50 book chapters. Her research focusses on special groups of gifted and talented students. She is also on the editorial board of Gifted child quarterly, and has been the president of the National Association for Gifted Children (NAGC). She has also been awarded the title Distinguished Scholar of the National Association for Gifted Children, and, like Renzulli, she has been named a Board of Trustees Distinguished Professor by the University of Connecticut. , This book is a work that is highly recommended for any educator.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.191 | 0.095 |
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".