Actitudes sobre el plagio electrónico en las investigaciones científicas, de los estudiantes de primer año y quinto año del turno matutino y vespertino de la carrera Comunicación para el Desarrollo, durante el primer semestre de 2022
Bibliographic record
Abstract
En esta presente investigación, se aborda las actitudes sobre el plagio electrónico de los estudiantes universitarios de la Universidad Nacional Autónoma de Nicaragua, Managua (UNAN-Managua), en sus investigaciones científicas y académicas, ya que es un problema que aún se sigue viviendo a pesar de conocer lo que es plagio y que este tiene sus consecuencias. Así como lo menciona Aragón y Collado (2019), que el impacto del plagio electrónico en los estudiantes es muy preocupante, porque a pesar de que muchas veces sean sancionados por los maestros, siempre siguen realizando plagio electrónico en sus investigaciones y los maestros evalúan más los pensamientos que están en el internet, que los propios o información plagiada
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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 | 0.032 | 0.068 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| 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".