Sternberg’s transformational and transactional giftedness: A Dabrowskian interpretation
Bibliographic record
Abstract
Sternberg’s (2020) transformational and transactional giftedness are based on a theory of leadership. Transformational leaders are highly moral, make changes that benefit members and society. They are concerned with members’ well-being and development. Transactional leaders are motivated by self-interest, concerned with members’ compliance with expectations and standards. Qualities of these forms are applied to giftedness, yielding transformational and transactional giftedness. Sternberg’s presentation and a review of leadership literature were examined from the perspective of Dabrowski’s theory of positive disintegration. It is concluded that they resonate well with Dabrowski’s theory. The current article suggests that Sternberg’s transactional and transformational giftedness resemble Dabrowski’s conception of development and intelligence. The author proposes that Dabrowski’s positive disintegration, rather than leadership theory, is a more suitable theory on which to base Sternberg’s new conception of giftedness.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".