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Enregistrement W4389795169 · doi:10.18438/eblip30438

Bangladesh Public Libraries' Response to COVID-19 Pandemic

2023· article· en· W4389795169 sur OpenAlexvenueno aff
David Dettman

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCOVID-19 Prevention and Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPreparednessGovernment (linguistics)PandemicPublic relationsDescriptive statisticsQualitative propertyChristian ministryData collectionCoronavirus disease 2019 (COVID-19)Library scienceMedical educationPolitical sciencePsychologySociologyMedicineComputer scienceSocial science

Résumé

récupéré en direct d'OpenAlex

A Review of: Begum, D., Roknuzzaman, M., & Shobhanee, M. E. (2022). Public libraries’ responses to a global pandemic: Bangladesh perspectives. IFLA Journal, 48(1), 174–188. https://doi.org/10.1177/03400352211041138 Objective – Examine quantitative and qualitative data to determine the level of preparedness and capacity to provide key resources during the recent COVID-19 global pandemic with the goal of recommending measures to better cope with future similar situations. Design – Online questionnaire and semi-structured interviews. Descriptive statistics were used to analyze quantitative data, followed by a narrative analysis of the qualitative data. Setting – Public libraries in Bangladesh. Subjects – Heads of the libraries such as directors, librarians, or librarians-in-charge. Methods – A survey was distributed to all 71 government public libraries in Bangladesh administered and governed by the Department of Public Libraries under the Ministry of Cultural Affairs. The survey elicited 50 valid responses, resulting in a response rate of 70%. A structured form questionnaire was prepared using Google Forms and included 12 closed-ended questions with multiple options and one open-ended question to collect librarian views on handling services and key functions post pandemic. Telephone interviews were conducted with eight librarians from the district public libraries. Main Results – The data revealed that all the libraries reported having some level of preparedness for pandemics and disasters. However, few libraries reported high levels of confidence in this regard. For example, 82% responded that they either had a “low” or a “minimum” preparedness for dealing with a pandemic. The survey revealed that none of the responding libraries were fully open to provide user services during the COVID-19 pandemic while 100% were open for administrative functions. Additionally, 72% reported having some sections open but others closed, while 22% indicated that the library only provided specified services, most of these in an online environment. Only 12% indicated that they provided access to mobile library services. The libraries responses to crisis management included creating public awareness through social media campaigns (50%), supporting other government bodies to mitigate the pandemic (46%), providing counseling services for particular users (40%), promoting authoritative and authentic national and global strategies on the pandemic for the public (34%), providing pandemic-related information via phone or email on demand (32%), and distributing relief to affected people (30%). Other activities included organizing online social and cultural programs to reduce public anxiety with special reference to vulnerable groups (24%), online staff training (22%), monitoring and supervising government programs (20%), and providing research data on the pandemic (10%). The response to needs regarding redesigning library programs and services for the post-pandemic world revealed that 90% of libraries identified a need for a dedicated online service platform, 80% saw the need to create policies related to health and safety, while 72% indicated a need for more emphasis on digital content. The responses indicated 56% were in favor of introducing innovative online services. Conclusion – In response to the results of their study, the authors make several recommendations regarding helping the libraries of Bangladesh to cope with consequences of future pandemics similar in scale to COVID-19. The first recommendation is to move away from “providing services in a traditional manner,” while developing dedicated online platforms running on high-bandwidth Internet connections (Begum et al., 2022, p. 183). These include introducing a secure cloud-based library automation system to provide a robust and stable information gateway. The development of digital resources should also be a priority. This includes both the digitization of library resources and more widespread access to an increasing number of subscription databases. The data indicated a strong desire among librarians to introduce innovative library services which the authors identify as digitized content delivery, remote access to online resources, online chat reference, current awareness services, online programming mirroring face-to-face programming, home delivery service for books, strategic disaster policy development, online information literacy programs, online career counseling, and leadership along with online training, workshops, and seminars. The authors conclude that: libraries face challenges, such as transitioning to virtual services, breaking long-established service models, funding for digital resources and its impacts on library operations in the future, enforcing social distancing measures, creating social awareness, and the lack of formal pandemic plans and policies …. (Begum et al., 2022, p. 179)

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 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)0,005
score de la tête « metaresearch » (Gemma)0,059
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCommunication savante, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,705
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,059
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0020,255
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,083
Tête enseignante GPT0,384
Écart entre enseignants0,301 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2023
Routes d'admission1
Résumé présentoui

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