Mind The Gap Exploring The Experiences Of Diasporic Media Producers And Representations Of Cultural Diversity In Canada
Notice bibliographique
Résumé
Prime-time narrative is the most watched and influential genre of television. It creates a sense of belonging and contributes to identity formation. It also receives the largest amount of publicly mandated funding in the form of investment, subsidies, and tax incentives in Canada. Anecdotal and empirical evidence suggests that despite legislation requiring equitable representation in all aspects of screen media, and over thirty years of many “special initiatives” and training and mentorship programs, little progress has been made in the area of equitable representation in narrative programming. This dissertation investigates the representation of diasporic people of colour in the screen-media industry in Canada. In particular, it studies how “authentic voices” from these communities are finding expression in the area of prime-time television narrative programming (scripted comedy and drama) and feature films, which ultimately find their largest audiences in broadcast screen platforms on television and increasingly via the Internet. The focus is on the legislative frameworks pertaining to the reflection of “diasporic communities of colour” in the production of screen media, specifically for prime-time broadcast in narrative, or what is referred to in the industry as “scripted programming,” as well as on the current realities faced by creators of screen media from diasporic communities of colour in telling their stories in this arena. Through a case study of the television series Little Mosque on the Prairie, it examines the issues that affect the expression of “authentic voice” from individuals who have had the opportunity to work in the area of narrative screen media in the Canadian Broadcasting Corporation, Canada’s public broadcaster, which has as one of its key priorities the reflection of the cultural diversity of Canada. The issues involved in the production of feature films by diasporic people of colour is examined through a case study of the film Heaven on Earth, written and directed by Indo-Canadian filmmaker Deepa Mehta. Mehta’s film presents a unique situation in which the filmmaker, due to the previous international success of her film Water, was able to access the financial resources to produce the film in Canada and maintain her “authentic voice” without mediation in the production from external players. Part of this case study includes a documentary film featuring an interview with Deepa Mehta conducted in 2017 about her film Heaven on Earth.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».