Adolescence: psychopathological discomfort, distress or psychiatric disorder? Clinical experience, description and analysis of a sample
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to highlight how many psychopathological disorders emerging during adolescence are not easily detectable and interpretable. METHODS: We investigated the social, emotional and demographic factors related to psychopathological distress, measuring the overall functioning of the child/adolescent and the consequent impact on academic and social functioning, along with its implications on the emergence of feelings of discomfort and anxiety. RESULTS: Many psychopathological disorders are easily detectable and diagnosable in this particular stage of life, and although they are rooted in adolescent distress, they can generate real psychiatric disorders. CONCLUSIONS: The data emerging from clinical practice stress the need for a comprehensive in order to identify possible subclinical symptoms for onset of mental illness, so as to be able to implement more targeted and less invasive therapeutic strategies.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".