Digital Skills And Education In The Cultural Heritage Sector : Post-COVID Digital Transformation of Galleries, Libraries, Archives and Museums
Notice bibliographique
Résumé
According to UNESCO (2021) 43% of museums faced closure in the first quarter of 2021 due to an ongoing pandemic. Those that could, offered digital experiences to maintain links with their visitors, and for those institutions without the skills or resources to reach out to their visitors, their very existence remained in a state of flux. The situation in Sweden was no different and, prior to UNESCO’s published figures of 2021, the Swedish Government (2020) instigated an inquiry to establish the necessary interventions required to reignite the heritage sector post pandemic. The inquiry found a history of challenging problems for the sector. One problem recognised was the need for a digitalised sector to sustain heritage, and secondly, the motivation for this research, the lack of skills and resources in the sector. The aims of this research therefore were twofold. Firstly, to identify what digital skills andeducation are needed in galleries, libraries, archives, and museums, (GLAM) and secondly, to test the hypothesis that Higher Education curricula in Sweden requires a programme of analysis and restructure. Notwithstanding a review of past literature review to reflect on previous research of skills and education in the sector, an in-depth analysis of the Governmental inquiry also took place. As a secondary research activity, a sample of respondents were selected to represent small and large institutions across the sector. Comments, experiences, and opinions regarding lack of resources and skills, were extrapolated from recorded interviews, surveys and responses to the Governmental Inquiry which were noted and logged. Secondly, an analysis of skills required in current job vacancies in the sector took place. Additionally, perspectives from sector unions were sought, and finally, a limited survey of employee thoughts on current skills and what skills they believed they needed for the future was completed. The results indicated that discourse of skills and the digital vision in the sector have been ongoing for many years and that a global pandemic had to be the instigator for governmental intervention. There is also a traditional approach to the education of graduates in galleries, archives, and museums, unlike those educated to work inlibraries. archives and researchers via digital humanities programs. For those entering the profession in museums and galleries, there is little, if any exposure to digital practices. Barriers to change included financing, infrastructures, and a lack of leadership development in the sector. Digital transformations it was felt, requires a top-down approach and leadership is currently not in situ.
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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 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 ».