Alexithymic Traits in Relation to Manifestation of Depression in Adolescence
Bibliographic record
Abstract
This bachelor thesis deals with the possible connection of alexithymia and a depressive disorder in the adolescent period. The aim is to map the relation between alexithymic trait rates and depression symptoms rates of the general adolescent population. The literary overview of this work introduces the reader to the concept of alexithymia with an emphasis on its formation and to the depressive disorder with an emphasis on its manifestation. Furthermore, the following chapters deal with the overlap of these concepts, the possibilities of their interconnection, and the researches which focus on their relationship in clinical and nonclinical population. In addition, a few recent studies which map alexithymia and depression in adolescence are explored. The literary overview is followed by a research proposal which is, with the use of self-assessment methods Toronto Alexithymia Scale (TAS-20) and The Scale of depre ion Dolej , Skopal and S ch (SDDSS), designed to answer the unexplored question of the relationship between alexithymia and depression symptoms of the general Czech adolescent population, and to educate about possible psychological support as well as to prepare the basis for further examination of this matter. Keywords Alexithymia; Depressive Disorder; Manifestations of Depression; Depression...
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".