Bibliographic record
Abstract
La pregunta existencial que cada ser humano hace, quizas desde un momento muy temprano de su vida de ?quien soy yo?, aparenta ser para muchos un interrogante cuya respuesta no debe conllevar dificul-tad alguna. Si alguien presenta alguna confusion al respecto, se le suele indicar que debe tener en cuenta su lugar de nacimiento, los padres y la familia en que nacio y crecio y las experiencias que como ser humano ha vivenciado hasta el momento; y la respuesta a tan fundamental in-quietud emerge en su obviedad. Esta postura, por lo comun senala que este es un interrogante exclusivamente respondido por quien lo for-mula, por lo que el otro solo cuenta como obstaculo. Cualquier otro, quienquiera que sea, padre, hermano, amigo de toda la vida, pareja, no podria arrogarse el derecho de contribuir a la autopercepcion que cada quien tiene de si mismo. La identidad individual seria un asunto de autodescubrimientos por lo que los otros, por definicion externos a nuestro ser individual, carecerian de la legitimidad y del conocimiento necesarios para aportar en la realizacion de tal tarea.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".