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Record W7048186240

Jeszcze raz w Nibylandii. O polskich przekładach „Piotrusia Pana” Jamesa Matthew Barriego. Rekonesans eseistyczny

2015· other· en· W7048186240 on OpenAlexaboutno aff

Bibliographic record

VenueAdam Mickiewicz University Repository (Adam Mickiewicz University in Poznan) · 2015
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)World literatureWish
DOInot available

Abstract

fetched live from OpenAlex

All children, except one, grow up. Among all the masterpieces of global literature for children, this story surely cannot be defined as a fairytale, even though it tells of wondrous events, a remote island, fairies, mermaids and children that are able to fly. A journey to Neverland is a flight on the wings of imagination, covered with golden fairy dust, but once the travellers long for homecoming, they shall never see the island again. Peter Pan Or The Boy Who Would Not Grow Up (1904) was a spectacular success of the Scottish playwright James Matthew Barrie, whose own childhood was far away from idyllic happiness. Seven years after its opening night, the play was adapted by the author into a story for the little ones, but there are many themes and thoughts in the book that are stereotypically not meant for children. The experience of real-life (not making-believe) strongly marked the language and style of Peter Pan. The article focuses on the Polish translations of Peter and Wendy by J.M. Barrie, especially those created by Maciej Słomczyński (Przygody Piotrusia Pana, 2010) and Michał Rusinek (Piotruś Pan i Wendy, 2006). The author of the article analyses selected fragments of the texts and tries to establish a critical comparison between different translation strategies, showing that translator’s work with such a masterpiece is full of both challenges and surprises.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0440.001

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.

Opus teacher head0.006
GPT teacher head0.194
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

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