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Record W2900538175

Canadian Young People and their Reading Worlds: Conditions of Literature in Contemporary Canada

2009· article· en· W2900538175 on OpenAlexaffabout
Margaret Mackey

Bibliographic record

VenueCanadian Children's Literature / Littérature canadienne pour la jeunesse · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsReading (process)Context (archaeology)PublishingLiteracyPoint (geometry)SociologyMedia studiesHistoryPublic relationsPolitical scienceLawPedagogy
DOInot available

Abstract

fetched live from OpenAlex

In lieu of an abstract, here is an excerpt of this article: Consider these observations on the current literary scene for young Canadians: • Writers, illustrators and publishers produce wonderful books for children and adolescents. • Contemporary young people achieve basic literacy and also develop sophisticated literary understanding through their exposure to clever, appealing, and subtle literature created just for them. • The output of Canadian children’s publishing is extensive and varied when compared to what was available for children of a couple of generations ago. • Those who work with children and their literature have a job that is both significant and special. I actually believe all the statements in this list. But this rosy account of affairs is also very partial. As Peter Hunt puts it, “children’s books may look sweet and innocent, but they cannot be—and nor can their critics” (154). The world of children’s literature cannot be sealed off in a bubble; it exists in a context of real children and their institutions (family, school, library—which are not emotionally, pedagogically, or financially equal), of publishers and booksellers driven by commercial considerations, of rapid cultural and technological change that affects children as much as or more than older citizens. I am an academic working in the area of literature for young people. Although I am very interested in the literary qualities of texts for youth, I also firmly believe that those who work with children’s literature should make a point of reading the business news. Market conditions, institutional pressures, technological developments—all impinge on how literature is created, distributed, and presented to young people.

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), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.005
GPT teacher head0.178
Teacher spread0.173 · 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.

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

Citations2
Published2009
Admission routes2
Has abstractyes

Explore more

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