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Record W2756908034 · doi:10.20360/g2jd5g

Patterns and Trends in Contemporary Canadian Verse-Novels for Young People

2017· article· en· W2756908034 on OpenAlexaffvenueabout
Beverley Brenna, Yina Liu, Shuwen Sun

Bibliographic record

VenueLanguage and Literacy · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsScrutinyInterrogationNoticeSet (abstract data type)LiteracyLiteratureHistorySociologyMedia studiesArtPedagogyPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

This qualitative content analysis identified patterns and trends in a contemporary set of Canadian verse-novels for young people. Twenty-two books were located in our search for titles published between 1995 and 2016, and many of these emerged as award-winners in various contexts including the Governor General’s Award for children’s literature (text). Dresang’s notion of Radical Change, adapted for this interrogation, illuminated particular elements of these societal artifacts worthy of notice. While studies have occurred regarding textual forms or formats and reader characteristics, specific work with the verse-novel and its use with struggling and reluctant readers is limited, with professional articles appearing in place of research-oriented discussions. Scrutiny of available verse-novels is important as it opens a door for explorations of these resources with participants in classroom settings.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.277
Teacher spread0.252 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2017
Admission routes3
Has abstractyes

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