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Record W1828689344 · doi:10.26522/vp.v10i2.840

L’apprentissage du chinois à travers le geste d’écriture

2013· article· fr· W1828689344 on OpenAlexvenueno aff
Pascale Elbaz

Bibliographic record

VenueVoix Plurielles · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Pour les apprenants occidentaux, l’accès à l’écriture chinoise se fait d’abord par le biais visuel et notionnel. On apprend à reconnaitre les formes qui composent le caractère, à en identifier les plus courantes et à comprendre leur provenance, refaisant le trajet du réel à l’image puis au signe. Certaines de ces formes servent de repère sémantique, d’autres de repère phonétique, d’autres sont des formes graphiques ajoutées au fil des siècles. Dans tous les cas, l’aspect visuel est premier. 
 L’objectif de ma présentation est de mettre à profit la connaissance de l’histoire et de la structure de l’écriture chinoise pour montrer que son caractère éminemment esthétique rend un apprentissage artistique utile et approprié en classe de langue. J’explorerai le passage du visuel à l’esthétique et au sensible comme voie d’apprentissage du chinois et me demanderai si enseigner la calligraphie chinoise en classe de langue tient de l’enseignement culturel ou linguistique, s’il s’agit de transmettre une pratique profondément ancrée dans les mœurs, ou si cela peut faire partie intégrante de l’apprentissage de la langue écrite. 
 
 Learning Chinese through the Writing Gesture
 For Westerners, the first access to Chinese writing is through a visual and notional approach. We learn to recognize the most common shapes of characters, to understand their genesis from natural objects to images and signs and to grasp their meaning. Some of these forms are used to mark semantic elements; others mark phonetic elements; while other forms have been added over the centuries for graphic purposes. In all cases, these forms offer a visual aspect.
 My presentation analyzes the history and structure of Chinese writing to demonstrate that the aesthetic aspects of the writing system must also be considered in a learning environment to fully grasp the language. I will explore the transition from a visual to an aesthetic and gestural approach of learning to address how Chinese calligraphy teaching in language classes serves not only as an important insight into the cultural aspect of Chinese civilization but as a tool to master the written language.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.013
GPT teacher head0.255
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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