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Record W7038585997

Ironie v češtině a její vnímání

2009· dissertation· en· W7038585997 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2009
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsIronyCzechSarcasmPerceptionComprehension
DOInot available

Abstract

fetched live from OpenAlex

This paper explores perception of discourse irony in Czech - how can irony affect Czech adults and teenagers, their definition of it and what are the differences between irony in Czech and in English. The inspiration for my paper was a cross-cultural study of comprehension of sarcasm in Czech and Canadian children in which I was concerned and which revealed that Czech children understand sarcasm somehow sooner than Canadian children. My paper focuses on two experiments I did with Czech adults for purposes of the cross-cultural study, in which adults were just the control group, and on following experiment with Czech teenagers, who weren't included in the study at all. The first experiment (the preliminary stage of the cross-cultural study) showed the approach of Czech adults to the forms of irony used in the cross-cultural study and what the term irony means to them. The second experiment confirmed appreciable differences in perception of social-communicative aspects of irony (pleasantness, unpleasantness, wittiness) between Czech and Canadian adults - the Czechs feel irony much more negative than the Canadians do. The third experiment was with fifteen-year-old Czech students and it pointed out that although their language skills are in principle comparable with those of adults, in the case of irony...

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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 designBench or experimental
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
Published2009
Admission routes1
Has abstractyes

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