Research Incubator on Newfoundland
Bibliographic record
Abstract
Los semilleros de investigación brindan la posibilidad a sus integrantes de reflexionar sobre problemáticas del entorno y encontrar alternativas de solución, partiendo desde los diferentes campos del saber, conducentes al desarrollo local y regional. Los semilleros son espacios de carácter académico e investigativo, que pretenden concientizar a los jóvenes de las instituciones de educación superior, sobre la importancia del uso y la producción de conocimiento científico, tecnológico y de innovación, permitiendo de esta manera, la consolidación de una comunidad académica multidisciplinar e interdisciplinar. En el marco de semilleros se reflexiona sobre los procesos y resultados de las investigaciones, alrededor de debates académicos propicios para la producción de conocimiento científico, se consolidan espacios de integración en torno a los procesos de investigación formativa, se estimula la interacción y la construcción de redes de conocimiento de los semilleros en áreas disciplinares e interdisciplinares de interés y se fomenta la integración alrededor de la relación: Ciencia, tecnología, innovación y academia-sociedad.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.194 | 0.048 |
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".