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Record W4313490224 · doi:10.19068/jtel.2022.26.3.04

Current Status and Prospect of Canadian Children’s Literature Research in Korea: Archiving Academic Journal Papers (1991-2022)

2022· article· en· W4313490224 on OpenAlexaboutno aff

Bibliographic record

VenueThe Korean Society for Teaching English Literature · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Political scienceLibrary scienceSocial scienceGender studiesHistorySociology

Abstract

fetched live from OpenAlex

Canadian children’s literature has established itself as Canada’s national literature in a relatively short period of about 170 years. While Canada establishing its national identity, national writer and literature represented by Lucy Maud Montgomery’s Anne of Green Gables was born. The process of birth and growth of Canadian children’s literature has been in line with such context of the nation. Understanding the history and current status of Canadian children’s literature requires a macroscopic view of geographical, human, and cultural factors that have shaped the present Canada. Then, what about Canadian children’s literature ‘reserch’ in Korea? What development has Canadian children’s literature research made in Korea? What is the current status? These questions come from the awareness that Canadian children’s literature is still an unfamiliar area in domestic English literature research, and that the research itself is insufficient in quantity and quality. Responding to the questions, this study examines the development and current status of Canadian children’s literature research in Korea, focusing on research papers published in domestic academic journals from 1991 to 2022. Both quantitative analysis of the papers and qualitative analysis of the contents and timely topics covered by the papers will be carried out together. As a conclusion, this study will diagnose the challenges and future prospects left by the current Canadian children’s literature research in Korea.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.005
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 head0.020
GPT teacher head0.300
Teacher spread0.281 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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