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Record W2757084524 · doi:10.3968/9779

On Practical Translation From the Perspective of Memetics: A Case Study of the Chinese Translation of Convict Conditioning

2017· article· en· W2757084524 on OpenAlexvenueno aff
Wandi Hu, Yuying Li

Bibliographic record

VenueStudies in literature and language · 2017
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCalisthenicsConvictPerspective (graphical)MemeticsQuality (philosophy)PsychologySociologyComputer scienceEpistemologyArtificial intelligenceCriminology

Abstract

fetched live from OpenAlex

With the improvement of life quality, the pursuit of health and longevity has become a growing consensus, fitness exercises being integrated into people’s daily life and calisthenics, because of its freedom from the restraints of time and space, has won particular favor among bodybuilders. Chinese fitness enthusiasts are not content with mere directions at home, they even crave for the guide abroad. Under the circumstances, Convict Conditioning by Paul Wade, an ex-convict, is looked up to as a treasured book in the calisthenics circles, its translated versions in various languages coming out one after another, benefiting fitness enthusiasts from all the countries. This paper takes the Chinese Version of Convict Conditioning translated by Gu Hongyan as an example to discuss the replication and transmission of memes from semantic, syntactic and cultural levels under Memetics, in the hope to shed some light on translation in the calisthenics field, thus improving the quality of practical translation at large.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.178

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 studies0.0000.000
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 head0.046
GPT teacher head0.445
Teacher spread0.400 · 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 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
Published2017
Admission routes1
Has abstractyes

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