The Identification of Giftedness in Children: A Systematic Review
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
This systematic review aims to provide a comprehensive and up-to-date overview of the most effective identification protocols used to detect giftedness in primary school students, intended to be used by teachers, parents, and diagnostic professionals. This review, registered in PROSPERO (CRD420251064093), analyzed studies published between 2019 and 2024 in the PsycINFO, Web of Science, and Scopus databases. It included articles published in English or Spanish and focused on multidisciplinary fields. A total of 17 studies were selected and evaluated for quality using the Newcastle–Ottawa Scale. The findings highlight the effectiveness of using multiple tools in the identification process, grouped into teacher nominations, family nominations, and tools for diagnostic professionals. This multidimensional approach helps reduce false negatives and supports the identification of underrepresented and twice-exceptional students. In conclusion, the identification of giftedness should be grounded in methods that prioritize general cognitive abilities over IQ scores and academic achievements.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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