Wikidata para enseñanza de la biología: la coloración en los felinos
Bibliographic record
Abstract
En esta propuesta presentamos Wikidata, un proyecto asociado a Wikipedia, una herramienta abierta, colaborativa y políglota lo que la hace innovadora e interesante para manejar datos biológicos in silico, los invitamos a usar esta plataforma web como un recurso didáctico para el aprendizaje de la biología. En este ensayo nos enfocaremos en dar un ejemplo de su uso en la biología del color en los felinos, creando declaraciones conformadas por propiedades y elementos que permiten producir y visualizar información relacionada con diferentes características de los organismos como coloración, sexo, especie, origen del color, tonos y patrón del color, que facilita a los estudiantes desarrollar habilidades biológicas, informáticas e informacionales en un contexto dinámico y entretenido.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".