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Record W7046590897

Długa droga do Avonlea. O włoskiej recepcji sagi Lucy Maud Montgomery

2024· book-chapter· en· W7046590897 on OpenAlexaboutno aff

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2024
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsTelevision seriesPopularityMAGIC (telescope)Reception theoryPoorhousePerformance art
DOInot available

Abstract

fetched live from OpenAlex

A Long Way to Avonlea: On the Italian Reception of the Lucy Maud Montgomery’s Anne of Green Gables Saga The article examines the reception of Anne of Green Gables and of other L.M. Montgomery’s novels in Italy, where the Canadian writer remained almost unknown for a long time. The first Italian translation of Montgomery appeared in 1939 and was the novel Magic for Marigold, reprinted several times in later decades. Anne of Green Gables aroused the interest of Italian publishers only in the early Eighties, on the wave of popularity of the Japanese cartoon Akage no An, and to this day, translations of this novel usually appear under the title Anna dai capelli rossi (Red-haired Anne) taken from the anime. By the beginning of the new century, several editions of the novel had appeared but did not gain much popularity. Even the fans of the animated TV series rarely realized that it was based on a Canadian novel. A revival of interest in the story of Anne can be noticed after 2012 when the copyright to Montgomery’s works expired. However, a significant impact on the reception of Anne of Green Gables had, above all, the Netflix series Anne with an E (2017–2019), which was very popular in Italy. It became a stimulus to create new and reissue older translations, propose new shortened editions for younger audiences, publish the remaining volumes of the cycle, and translate other Montgomery’s works, previously unknown in Italy. Despite the significant delay in reception, Anne of Green Gables managed to enter the reading circuit and gain the rank of a children’s classic. However, as indicated in the summary of the article, the extent of the novel’s popularity should not be overestimated

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.674
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.004

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 head0.042
GPT teacher head0.290
Teacher spread0.248 · 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
Published2024
Admission routes1
Has abstractyes

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