Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research investigating the alexithymia construct is advancing rapidly and has broadened considerably in recent years as a result of interdisciplinary efforts, new methodologies, and experimental techniques. New developments in the field include a shift from measurement-based validational studies to experimental investigations, which explore the relation between alexithymia and various aspects of emotional processing; the use of functional brain imaging techniques to explore neural activity associated with alexithymia; and experimental studies that measure multiple indices of physiological response to standardized emotion-inducing stimuli. Developmental research and attachment studies are providing ways for investigating potential etiological sources of the construct; and experimental approaches are being used to explore relations between alexithymia and other health-related personality constructs. In addition, longitudinal and treatment studies are clarifying the relation between alexithymia and psychopathology and the extent to which alexithymia predicts treatment outcome. Investigators need to embrace the new methods and techniques for the field of research to further increase understanding of the alexithymia construct and its association with physical and mental illness.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it