MétaCan
Menu
Retour à la cohorte
Enregistrement W7047892178

Humour in meetings: A study of power and solidarity in the Malaysian academic context / Nor Azikin Mohd Omar

2012· other· en· W7047892178 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueUniversity of Malaya Students Repository · 2012
Typeother
Langueen
DomainePhysics and Astronomy
ThématiqueSuperconducting and THz Device Technology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSolidarityMalayEthnic groupPower (physics)Transcription (linguistics)Context (archaeology)Notation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This study examines the linguistic features that describe the functions of humour associated with power and solidarity in a particular workplace settings referred to as NAS. The purpose of this study is to investigate the nature of humour that is manifested in tandem with the concept of power and solidarity in symmetrical and asymmetrical positions during academic management meetings. Moreover, the aim of the study is to ascertain the turn taking patterns accompanying humour in these respective meetings. The parameters of this study are confined to the different rankings of the participants who utilise humour either to be used for exercising power or building rapport in a hierarchical environment. The data were recorded from four semiformal meetings at NAS with a total combination of 380 minutes and 189 seconds duration of time. Although the medium of instruction was primarily English Language, it was discovered that code switching in Malay occurred throughout the meetings. The age range of the participants ranged from 24-55 years old and they are all proficient in the English Language. The dominant ethnicity of the participants is Malay while there were only two participants who are Chinese and a native speaker of English from Canada. All the four meetings were transcribed using Jariah Mohd Jan’s (1999) transcription notation which was adapted from Jefferson’s (1978) conventions. The adapted transcription highlights the distribution of turns between speakers, occurrences of interruptions and the point when the prior speaker finishes his/her contribution in relation to the next speaker’s turn (Jariah Mohd Jan, 1999:226). The instances of humour were categorised using Hay’s Taxonomy of Functions of Humour (1995) which mainly focuses on the two functions which are power and solidarity. The organisation of turn taking accompanying humour was analysed based on Sacks et al. Turn-Taking Model (1974). The findings revealed that teasing was the most popular function of humour in the power and solidarity category. Teasing was the predominant strategy utilised by the academicians to enact power or to maintain camaraderie among the team members. On the other hand, conflict was the least popular type of humour that was associated with power play and share was the lowest type of humour produced by the participants which functioned as rapport building. The data suggested that the organisation of turns which subsumed humour were basically adhering to the second rule of SSJ Model of Turn-Taking (1974). The rule demonstrated that turns were taken through self-selection where the members of the floor will select themselves in order to make their respective contributions. This rule was discovered as the most applied rule by the participants especially for those in higher status in their attempt to produce humour. This study provides great insights that the production of humour in academic management meetings is influenced by the status or position that one occupies. Moreover, this study will certainly contribute to the existing body of local researches as well as it could be used to extend on future studies on power and solidarity in relation to production of humour.

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.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,570
Score d'incertitude au seuil0,985

Scores Codex et Gemma par catégorie

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

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 Opus0,009
Tête enseignante GPT0,238
Écart entre enseignants0,229 · 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