Djetinjstvo i odrastanje u fantastičnim pričama: Petar Pan i Pipi Duga Čarapa
Bibliographic record
Abstract
James Matthew Barrie, a Scottish writer for children and Astrid Lindgren, Swedish writer for children, have brought a new kind of story, a fantastic story. Encouraged by Lewis Carroll and his Alice in Wonderland, they went into that direction and wrote their works of Peter Pan and Pippi Longstocking for which they are most recognizable today. Their work brought great fame to them both in children and adults alike. It's a story of a boy who does not want to grow up and of a girl who opposes authority have made childhood a precious and special period. Their stories are original and unique because there is only one Pippi Longstocking and only one Peter Pan and all other attempts are just shallow attempts in comparison to the original version. For a fantastic story to be successful, it has to be emotionally convincing and honest and to be honest, it must be a reflection of personal spirit and temperament, and these are both works of this kind. The main heroes of the story are children and their play and imagination, and that is something every child has in themselves. This work illustrates the literary work of James Matthew Barrie and Astrid Lindgren, fantastic story elements, childhood and growing up themselves through both works.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".