Itacone - A creative solution system to recurrent problems
Bibliographic record
Abstract
Itacone is a system created to solve recurring problems that require the use of creative techniques, taking into account the cultural and socio-economic of the Latino community. The system prepares the mind Itacone consultant applying the method to know what they think the other people involved in it, change the way you see the problem, solution ideas objectively analyze and generate a strategy that includes the solutions that best adapted to solve the problem comprehensively. The proposed method is based on Canadian and American researchers to define the problem to be studied objectively in European researchers to break paradigms with regard to solutions that have failed before and uses the concept of reverse logistics in order to verify the applicability of the solution is being designed with the owners of the problem before final delivery and eventually understand the consequences of applying the proposed strategic solution to fit so as to maximize their chances of success.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.009 |
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".