Paradigm Shifts in Gifted Education: An Examination Vis-à-Vis Its Historical Situatedness and Pedagogical Sensibilities
Bibliographic record
Abstract
After nearly a century of development, gifted education has evolved into a complex educational discipline with well thought out pedagogy and research agendas. However, while the number of studies escalates, the field as a whole has been criticized for producing fragmented and piecemeal results. One of the reasons for these shortfalls is that the field has invested little in meta-theoretical aspects, such as historical perspectives and philosophical foundations. This article is a comprehensive review and analysis of the conceptual changes and paradigm shifts in gifted education. Three major paradigm shifts in gifted education were identified— demystification (i.e., giftedness as manifested wonders), identification (i.e., giftedness as measurable predictions), and transaction (i.e., effectuation of human possibilities). Presently, there is still an implicit focus on the identification paradigm despite considerable efforts to shift the focus to creating and sustaining appropriate developmental niches for all individuals. Debates in the field are highlighted to provoke discussion of future directions.
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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 | 0.014 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.031 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".