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Record W2795958450

Paradise Ever Becoming: War of 1812 Narratives for Young Readers

2007· article· fr· W2795958450 on OpenAlexaboutno aff
S.R. MacGillivray, Jeanette Lynes

Bibliographic record

VenueCanadian Children's Literature / Littérature canadienne pour la jeunesse · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesNarrativeSpanish Civil WarParadiseHistoryArtEthnologyLiteratureArt history
DOInot available

Abstract

fetched live from OpenAlex

Resume: Dans cet article, les auteurs examinent trois romans recents consacres a la guerre de 1812: apres les avoir comparis a d'autres recits, plus anciens, egalement consacres a cet evenement capital de l'histoire canadienne, ils montrent comment les attitudes face a la guerre en general et a ce conflit en particulier ont change depuis 100 ans. Enfin, l'article resume l'evolution de la prose historique pour la jeunesse de la fin du dix-neuvieme siecle a aujourd'hui. Summary: In this article, the authors examine three recent novels centred on the War of 1812. Along with situating the novels among others that have focused on this significant event in Canadian history: the article also shows how attitudes towards war in general and this war in particular have changed over the last 100 years or so. Finally, the article traces the development of the writing of Canadian historical fiction for young readers from the late nineteenth century to the present time.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.543

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0420.028
Scholarly communication0.0140.004
Open science0.0020.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2007
Admission routes1
Has abstractyes

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