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Record W3172827432 · doi:10.1177/02646196211002887

Living with deafblindness during COVID-19: An international webinar to facilitate global knowledge translation

2021· article· en· W3172827432 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBritish Journal of Visual Impairment · 2021
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-AppalachesCentre intégré de santé et de services sociaux de la Montérégie-CentreCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre de réadaptation Lethbridge-Layton-MackayCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
FundersFonds de Recherche du Québec - Santé
KeywordsContext (archaeology)AttendanceCoronavirus disease 2019 (COVID-19)Social distancePsychologyPublic relationsMedical educationPolitical scienceMedicineDisease

Abstract

fetched live from OpenAlex

Arguably, individuals living with deafblindness are among the hardest hit by the effects of the corona virus disease of 2019 (COVID- 19), given the importance of the sense of touch for their ability to interact with the world. To address this challenge, it is imperative to facilitate the implementation of evidence- and experience-based recommendations, and to improve knowledge translation on a global scale. Deafblind International organized a webinar to provide a platform where participants could exchange experiences and solutions to overcome the challenges created by the arrival of COVID-19, in order to facilitate information exchange among stakeholders in deafblindness during this pandemic. We present an overview of its content here and place the summarized themes in context with existing research literature. Abstract submission was open for 4 weeks in May 2020, resulting in 30 submissions from 13 countries across 5 continents. Of the 26 presenter teams, 9 (35%) had a co-presenter that was living with deafblindness themselves. The number of individual participants across all sessions ranged from 55 to 140 ( M = 98), with a total of 3709 session registrations overall, and the organizers estimate a total attendance of around 400 participants. Based on extensive field notes taken during the webinar, and repeated viewing of the recordings, qualitative description allowed the team to synthesize eight principal themes across the event: access to information, communication, service accessibility, adaptations to service delivery, online safety and security, physical distancing, mental health and research. The first Deafblind International webinar was able to fill an important gap by bringing together a variety of stakeholders in deafblindness across the globe. The event created a sense of group membership and peer support, brought the participants, researchers, the professionals as well as their service agencies closer together and generated a sense of hope and collaboration.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.412
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it