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Record W3134004922 · doi:10.33899/radab.2014.166927

الترکیبة السیمیائیة للخطاب الفکاهی وتأثیرها على الترجمة

2000· article· ar· W3134004922 on OpenAlexfundno aff
مازن أحمد

Bibliographic record

Venueاداب الرافدین · 2000
Typearticle
Languagear
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
FundersUniversity of TorontoUniversity of TwenteDeakin University
KeywordsComputer science

Abstract

fetched live from OpenAlex

البحث دراسة فی البنیة السیمیائیة للنصوص الفکاهیة، التی أسَبَرت عن بیان العلامات التی تُکوِّن بنیة النصوص الفُکاهیة مُمثلة بالنکات، والألغاز، وسلطت الضوء على وظیفتها وصولاً إلى تحقیق ترجمة ناجحة لها. فقد توصل البحث إلى ثلاثة عناصر یعتمد علیها التعارض فی أی نص فکاهی، وهی: الکفاءة السیمیائیة الوافیة للمتلقی، ودرجة التنافر للعناصر المُتعارضة، والمعلومات السیاقیة الکافیة .

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)0.004
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 score0.123
Threshold uncertainty score0.411

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1230.072

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 head0.005
GPT teacher head0.183
Teacher spread0.177 · 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
Published2000
Admission routes1
Has abstractyes

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