Bibliographic record
Abstract
La alexitimia es un constructo de personalidad multifacética que abarca, entre otras características, dificultades en la identificación y descripción de emociones. La investigación previa sugiere que la alexitimia se asocia con pobre memoria de reconocimiento para palabras emocionales. Este estudio abordó la pregunta de si la memoria para las caras emocionales varía en función de la alexitimia. El 20-Item Toronto Alexithymia Scale (TAS-20) y mediciones de depresión, ansiedad-rasgo e inteligencia se administraron a 40 mujeres sanas. Durante la codificación se presentaron rostros de enojo, temeroso, feliz, y se presentaron rostros neutrales. Después de 30 minutos se llevó a cabo una prueba de reconocimiento. El análisis de correlación parcial reveló que la escala TAS-20 y la descripción de sentimientos se correlacionó inversamente con adecuado reconocimiento de rostros temerosos y enojados. La alexitimia parece afectar negativamente a la memoria para los rostros emocionales negativos.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".