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Record W4316089707 · doi:10.7202/1094124ar

Children’s Books and Childhood Reading in Eighteenth‑ and Nineteenth‑Century Denmark

2022· article· en· W4316089707 on OpenAlexvenueno aff
Charlotte Appel, Nina Christensen, Karoline Baden Staffensen

Bibliographic record

VenueMémoires du livre · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)HistoryLiteratureClassicsArtLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This article sets out to demonstrate the potential of memoirs and autobiographies as sources to study children’s use of books and other media in Denmark between around 1750 and 1850. Research on historical children’s reading cultures in the Nordic countries has been limited, and knowledge of children’s own experiences of reading, including how, when, where, what and with whom they read, is scarce. Despite the fact that most autobiographical writings were put on paper late in the authors’ lives, and even though most were composed by privileged or exceptional individuals, these sources can open up aspects of children’s book and media history which are otherwise largely inaccessible. Inspired by media scholars Hepp and Hasebrink’s concepts of media repertoires and media ensembles, we point to the importance of studying individual children’s selections of media (“repertoires”) in relation to those available in specific social contexts (“ensembles”). The article looks at six memoirs, representing boys and girls, urban and rural settings, and rich and poor families. We consider how these ego‑documents may tell unexpected stories about children’s media repertoires in practice and about the social life of children’s books and reading.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.867

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 communication0.0000.000
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 head0.011
GPT teacher head0.243
Teacher spread0.232 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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