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Record W3167685660 · doi:10.1111/russ.12319

Films of the Printed Page: Transmedial Books for Early Soviet Children

2021· article· en· W3167685660 on OpenAlexaff
Zdenko Mandušić

Bibliographic record

VenueThe Russian Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMovie theaterImmediacyNarrativeRealismRepresentation (politics)IdeologyVisual artsFilm studiesArtAestheticsLiteratureMedia studiesSociologyHistoryPoliticsPolitical scienceEpistemologyPhilosophyLaw

Abstract

fetched live from OpenAlex

This essay examines the representation of film production and reception in Soviet children's books from the 1920s and early 1930s. These publications function both as instructional manuals for teaching children about cinema and as attempts to depict film elements in a different medium. In relation to the institutional development of the Soviet film industry, the publication of children's books about cinema coincides with the mobilization of films for propaganda and educational purposes. At this time there were also increasing warnings about the effect of cinema on children as well as calls for ideologically appropriate film programming for young viewers. The visual language of these publications indicates how writers and artists of Soviet children's books engaged with cinema and adapted cinematic techniques to the printed page. The authors represented cinema's illusion of immediacy, spectator engagement, and principles of narration through the succession of images. Moreover, Soviet children's books about cinema appropriate film techniques and cinematic forms as part of their claim to the realism and authenticity ascribed to cinematic representation. Such translation of elements across media turned Soviet children's books into transmedial objects that allowed readers to enter and engage the media system developing around them.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.076
GPT teacher head0.367
Teacher spread0.291 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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