ON THE BRINK: THEATRES SEARCH FOR A\nPOST-PANDEMIC MODEL
Notice bibliographique
Résumé
This thesis investigates the ways in which the leaders responsible for nonprofit theatres behave in moments of crisis, focusing on the response to the events of 2020: the COVID-19 pandemic and a social justice movement kicked into high gear by Black Lives Matter.\n\nTheatres had been struggling to change in the years leading up to the crisis, with a shrinking subscriber base, increasing competition with digital forms of entertainment, and diminishing relevance with younger and diverse audience members. In spite of an articulated desire to practice Equity, Diversity and Inclusion (EDI), many theatres remained resolutely white on their stages, in their administrations and board rooms.\n\nMy research examines the immediate response to the crises and the actions undertaken in the three subsequent years, based on semi-structured interviews with the leadership of fifteen theatres across Canada. Conducted three years after the beginning of the pandemic, the interviews gave the artistic directors, executive directors, and chairs of the boards the opportunity to reflect on policy and practice changes made and how they perceived their success.\n\nWhile every theatre responded to the turmoil of 2020 by undertaking actions to address inequity, lack of diversity, exclusion, health and wellness, and work-life balance, by the time of the interviews, other factors were affecting the success of those initiatives: audiences were not returning to theatres, the cost of living was increasing, public funding was decreasing, and the public’s attention was on global concerns like climate change and war.\n\nI contend, based on the data compiled, that a governance model that was already flawed proved incapable of meeting the challenges of a crisis that was essentially existential in nature. Boards of directors are most prepared to deal with financial crises, but the larger crisis of 2020 exposed and exacerbated the systemic problems that already existed. Further, a failure to address the systemic issues means that changes made during the pandemic are failing, or being abandoned. Finally, I argue that that the systemic problems of the model are jeopardizing the survival of theatres.
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 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 | 0,000 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».