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Enregistrement W6997099173

Towards a Cross-linguistic Analysis of Perception of Tone in Academic Reading Materials

2014· other· en· W6997099173 sur OpenAlexaboutno aff

Notice bibliographique

RevueArca (British Columbia Electronic Library Network) · 2014
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésReading (process)Tone (literature)VocabularyPerceptionContext (archaeology)Task (project management)Academic writingExtensive reading
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

1 Introduction:\n\nLanguage learning at best is an arduous process. Coupled with trying to achieve success in academic areas, the task at times might seem insurmountable. Well aware that students might need some relief from the constant onslaught of information, textbook writers at times insert some degree of light heartedness to keep the reader engaged. The concern this study addresses is the problem of language students’ not recognizing tone that might be interpreted as something other than serious in academic reading materials in the English language,and whether or not linguistic group could offer any insight. Effective intercultural communication in a global context has now become imperative as the number of students studying in English internationally has become significant.\n\n2 The problem:\n\nAs many academic instructors can attest, the ability to identify tone in textbook reading often goes undetected by many English Second Language students, thereby reducing the students’ understanding that not all of their educational experience is dull and dry. \n\nLanguage instructors are often perplexed by students’ inability to identify humour as a tone in some reading assignments. Many academic writers \ndo inject a little lightheartedness here and there in order to make their writing a little less dull and hopefully to foster an interest in whatever information it is they are trying to transmit. When students are asked to read a passage or essay and then to identify any parts that seemed humorous - or less than serious-the task is not always possible for everyone. Even when the vocabulary and syntax are relatively simple, the ability to recognize the correct tone is still elusive. Perhaps the problem sometimes rests in such culturally contrasting senses of humour that it is impossible for some students to perceive the language as humorous or entertaining. Sometimes, because of pre-existing cultural schema, humour in a textbook would be completely unexpected. Although a student may still understand the information, not recognizing the author’s effort makes the reading experience just a little bit less enjoyable and the reader perhaps a little less engaged than might be possible. \n\nResearch abounds on many aspects of cross linguistic differences in humour, particularly joke telling (Attardo, 1994). Ample research also exists on how language learning can be facilitated by the incorporation of humour (Bell, 2009). However, there seems to be little information specific to cross linguistic differences regarding tone recognition in academic materials.\n\n3 The study:\n\nThis paper presents an overview of an empirical study done at a Canadian university examining responses from approximately 400 first year university students from 14 different linguistic groups as related to perceived differences of humorous tone in academic textbooks from a range \nof subject areas. The questionnaire used for the study is a hand built corpus of actual passages taken from first year academic textbooks, first piloted on faculty to assure the humour value. The study then analyses the results for specific areas of difference while applying theories of formulaic language to account for some of the problematic items. This study provides some empirical evidence that when learners are not yet highly familiar with the usual contextualized phrases of a language, it is difficult to sense when register variations for the purpose of humour or some other engaging-type language have occurred. This paper proposes the need for much larger collections of humour derived from textbooks. A sizeable natural databank could help teachers give students the skills to better appreciate textbook authors’ intentions. This research is in further development to a paper published in Language and Humour in the Media, Cambridge Scholars, 2012, which applied sociolinguistic schema theory to a prior smaller sampling that addressed both literary and non-literary texts.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,759
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,005
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,3490,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,267
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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