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Enregistrement W4296789391 · doi:10.18438/eblip30179

Digitized Indigenous Knowledge Collections Can Have Beneficial Impact on Cultural Identity and Social Ties

2022· article· en· W4296789391 sur OpenAlexvenueno aff
Hilary Bussell

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueService-Learning and Community Engagement
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousIdentity (music)Traditional knowledgePsychologyMedical educationMedicine

Résumé

récupéré en direct d'OpenAlex

A Review of: Liew, C. L., Yeates, J., & Lilley, S. C. (2021). Digitized Indigenous knowledge collections: Impact on cultural knowledge transmission, social connections, and cultural identity. Journal of the Association for Information Science and Technology, 72(12), 1575–1592. https://doi.org/10.1002/asi.24536 Abstract Objective – To explore the impact and significance of digitized and digital Indigenous knowledge collections (D-IKC) on knowledge transmission, social connections, and cultural identity. Design – Phenomenological explorative study. Setting – New Zealand. Subjects – Eight D-IKC users, including three academics, four undergraduate students, and one postgraduate student. Six participants were women and two were men. All participants were of Māori descent. Methods – Eight semi-structured interviews ranging from 40 to 75 minutes were conducted in a face-to-face setting between June 2019 and August 2020. Participants were recruited through the researchers’ personal and professional networks using a purposeful sampling technique. Potential participants were provided with a copy of the interview guide during recruitment. Main Results – The article reports on seven areas of results: use of collections, accessibility and discoverability, collection features and functionality, sharing of knowledge resources, reuse and repurposing of resources, perceived benefits of cultural and social connections, and development and provision of D-IKC. Participants use D-IKC for academic work including coursework, teaching, and research as well as for personal interest and development, such as researching whakapapa (genealogy) and whenua (land) information, language revitalization projects, and creative works. All participants expressed preference for online access to the collections. Participants discussed barriers to access not only for themselves but also for other members of their community, including difficulty using the platforms on mobile devices, lack of awareness about the collections, inadequate digital access, and lack of digital competence for searching and navigation. Some participants noted inaccuracies in transcriptions that could lead to alteration of the meaning of words and deter engagement with D-IKC. All participants reported having shared knowledge resources they encountered in digitized collections. Primary reasons for sharing information included helping classmates get access to educational materials and sharing resources with whānau (extended family) for genealogical research and land claims. Common reasons for reusing or repurposing materials included language and dialect revitalization and creative work and performance. Participants said they were more likely to share materials related to their tribal affiliation. Participants also discussed information that would not be appropriate to share, such as information that is considered tapu (sacred), particularly if the material is outside of their tribal roots. Notably, all participants said they had come across resources and information in D-IKC that should not be openly accessible at all. Participants reported having gained linguistic and cultural knowledge as well as information about their cultural identity through their use of D-IKC. Sharing this knowledge with their communities has helped strengthen social connections. Some participants noted that their hapū (subtribe) planned to set up their own digital archives. Conclusion – Overall, D-IKC can have a beneficial impact on individual and collective social identity and social ties. Making these materials available online facilitates their wider access and use. However, memory institutions (MIs) need to take steps to ensure that cultural values and knowledge are embedded into the development and stewardship of the collections. MIs should employ more specialists from Indigenous communities with deep understanding of customary practices and principles, encourage other staff to develop their understanding of the language and customs of the Indigenous communities that their collections are rooted in, and develop partnerships with Indigenous authorities to help guide them on issues relating to sacred knowledge and genealogical materials. The authors also recommend that MIs develop outreach programs to raise awareness of the resources and to improve digital access and competencies.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,040

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,020
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,007
Études des sciences et des technologies0,0050,010
Communication savante0,0120,011
Science ouverte0,0010,011
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0120,001

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 Opus0,038
Tête enseignante GPT0,338
Écart entre enseignants0,300 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

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
Publié2022
Routes d'admission1
Résumé présentoui

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