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Record W7054864945

'Being not alone in the world', .exploring reader responses to crossover books

2013· dissertation· en· W7054864945 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaMcGill University
KeywordsNarrativeCrossoverConversationPerceptionIdentity (music)ContinuanceReading (process)
DOInot available

Abstract

fetched live from OpenAlex

When contemporary readers, both young and old, claim "crossover books" such as Harry Potter, Twilight, and The Hunger Games as their own (Beckett, 2009; Falconer, 2009), they subvert socially constructed borders that segregate child and adulthood (James & Prout, 1997; Jenks, 1996). Some adults are perplexed and alarmed by this culture-sharing, because it challenges the dominant perception that child and adulthood are, and should remain, distinct states (Danesi, 2003; Postman, 1982). In this dissertation, I identify cross-reading as a critical practice that can encourage intergenerational connections by illuminating a continuum of experience between life stages and facilitating community and conversation between readers of all ages. The research reflects original, interdisciplinary inquiry into the crossover phenomenon by exploring reader response to crossover books. Through self and case study, I address key questions of engagement such as: Why do readers reach beyond socially prescribed reading boundaries in search of story? How do they identify with crossover literature? What is significant about their individual and shared experiences of cross-reading? I hypothesize that cross-readers may be attracted to themes of continuance in crossover narratives that promote a more holistic understanding of life experience and identity that is not segregated by age. I suggest that readers can gain a greater sense of community and experience "grand conversation" (Peterson & Eeds, 1990), more open, honest and equal dialogue with readers in other age groups, by sharing their responses to crossover books. Through methodology that combines children's literature criticism , memory work, narrative inquiry and book discussion, I examine the real world applications of this hypothesis by investigating whether themes of continuance, community and conversation echo in readers' experiences with crossover books. I use literary portraiture to construct reading portraits of myself, and the research participants, to illustrate how readers identify through story, and 'perform' their "storied formation" (Strong-Wilson, 2008) for others. These intimate and detailed pictures of cross-readers in conversation reflect new avenues for researching, representing and understanding the complexity of the cross-reading experience. By focusing on reader response, this dissertation provides critical research on the greater significance of cross-reading, examining not only what crossover literature is, but what it does for readers (Falconer, 2009). In this way, the research complements and extends current crossover studies grounded in children's literature criticism. Because the study illuminates how readers identify through story and bring this understanding to their real world relationships, there are also valuable resonances here for scholars investigating literacy studies, library studies, teacher education, curriculum studies, identity formation, memory work, intergenerational relationships, and the study of young people's texts and cultures.Keywords: crossover literature, children's literature, childhood, intergenerational relationships, reader response, literary portraiture, storied formation, memory work

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)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.040
GPT teacher head0.257
Teacher spread0.217 · 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 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

Citations3
Published2013
Admission routes1
Has abstractyes

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