SEGURIDAD INFORMATICA Y PROTECCION DE DATOS DE CARACTER PERSONAL
Bibliographic record
Abstract
Nadie cuestiona hoy en dia la importancia adquirida por la Seguridad informatica y la Proteccion de datos de caracter personal en el ambito de las organizaciones. La progresiva informatizacion de los procesos administrativos y de negocio, el tratamiento automatizado de datos de caracter personal, el acceso a Internet y el desarrollo de nuevos servicios online son algunos de los factores que explican la creciente preocupacion por garantizar la Seguridad en los Sistemas de Informacion y en la conexion corporativa a Internet. La informacion constituye un recurso que, en muchos casos, no se valora adecuadamente por su intangibilidad (cosa que no ocurre con los equipos informaticos, la documentacion o las aplicaciones) y, ademas, las medidas de seguridad no influyen en la productividad del sistema, sino, mas bien, al contrario, por lo que las organizaciones son reticentes a dedicar recursos a esta 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 | 0.007 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".