Üstün zekâyı yeteneğe dönüştürmek: gelişimsel bir teori olarak ayrımsal üstün zekâ ve yetenek modeli
Bibliographic record
Abstract
Ayrmsal stn Zek ve Yetenek Modeli, sra d potansiyelin (natural ability) ya da stn zeknn (gifts) zel mesleki bir alanda uzmanlk ya da yetenek ad verilen sistemli bir ekilde gelitirilmi sra d becerilere dntrlmesi olarak yetenek geliimi srecini sunar. Bu geliimsel dzen Ayrmsal stn Zek ve Yetenek Modelinin kalbini oluturur. tip katalizr bu sreci kolaylatrr ya da engeller: a) Bireysel (I) Katalizrler; karakter ve zynetim sreci gibi, b) evresel (E) Katalizrler; sosyo-demografik faktrler, psikolojik etkiler (ebeveynler, retmenler, akranlar vb.) ya da zel yetenek geliimi imknlar ve programlar, c
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.064 |
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; both teacher heads agree on what is shown here.
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".