INTELIGENŢA EMOŢIONALĂ ÎN SOCIETATEA CONŞTIINŢEI
Bibliographic record
Abstract
Scopul lucrrii: Identificarea impactului inteligenei emoionale asupra omenirii n viitoarea Societate a Contiinei. Identificarea emoiilor de baz ale omului, dar i ale roboilor (calculatoarelor) dictate de Era Informaticii. Argumente pro i contra privind implementarea ROBO-inteligenelor emoionale n Societate Design-ul / metodologia / abordarea: Cercetarea este axat pe metoda coopertiv, corelaional i explicativ privind: inteligena emoional i impactul asupra omenirii; identificarea metodei adaptabile de evaluare a inteligenei emoionale n Societatea Contiinei Constatri: Inteligena emoional, dar i omul au nevoie de reglementarea clar a relaiilor bazate pe emoii n societatea viitoare Umano-Robotic, de corlarea ei cu inteligena creativ (EQ vs IQ) n primul rnd i de posibilitatea de a fi creat ROBO-inteligena emoional n baza msurrilor componentelor emoiilor umane Limitri/sugestii de cercetare: Cercetarea pretinde analiza impactului inteligentei emoionale asupra omenirii, necesitatea identificrii i reglementrii componentelor inteligenei emoionale i celei creative n evoluia Societii Contiinei.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".