A Quarter Century of Polish YA Literature through the Lens of AnthropologicalSensitivity
Bibliographic record
Abstract
<ns3:p>The article offers a synthetic research reconnaissance of Polish young adult literature of the 21stcentury, analyzed through the lens of anthropological sensitivity. The authors argue that, despitedominant public debates framing contemporary YA prose as „mediocre”, its defi ning features arepolyphony and the capacity to address socio-cultural issues relevant to late millennials, and especiallyto Generations Z and Alpha. The focus is placed on such themes as mental health, violenceand personal boundaries, the crisis of democracy and social inequalities, gender and psychosexualidentity, multiculturalism, disability, neurodiversity, as well as new technologies and socialmedia. The analyzed examples demonstrate that Polish YA literature–understood as a laboratoryof adolescent experiences and dilemmas–often serves an interventionist function, initiates debateson individual rights, and at the same time refl ects social anxieties and stereotypes. The authorspoint to the limitations of this body of work, including narrative schematism, stigmatization of certaincharacter types, and the insuffi cient (or absent) representation of some socially signifi cant issues.They emphasize, however, that Polish YA prose of the past quarter century constitutes a diverse fi eldwith the potential to shape the social and ethical sensibilities of young readers.</ns3:p>
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".