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Record W3177128844 · doi:10.1145/3461778.3462022

Family and Friend Communication over Distance in Canada During the COVID-19 Pandemic

2021· article· en· W3177128844 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsElectronic Arts (Canada)
Fundersnot available
KeywordsPandemicSocial distanceDistancingDisconnectionPsychologyCoronavirus disease 2019 (COVID-19)Exploratory researchPublic relationsAutonomyAtmosphere (unit)Internet privacySociologySocial psychologyPolitical scienceGeographyComputer scienceMedicine

Abstract

fetched live from OpenAlex

During the COVID-19 pandemic, communication technologies have allowed people to maintain connections with their loved ones over distance. At the same time, we do not yet have a deep understanding of if and how communication needs amongst family and friends change as a result of physical distancing and travel restrictions and how technologies could be better designed to support these needs. For these reasons, we conducted an exploratory study to investigate the use of communication technologies and family communication needs during the first fourth months of the COVID-19 pandemic in Canada. We used contextual interviews with 18 participants and an open-ended survey with 12 respondents. Our results show that people began the pandemic with a period of shifting and trialing new communication practices; this included increased communications with family and friends. People tried to recreate in-person situations with large group video calls beyond the typical two-household connection found pre-pandemic. This created challenges related to control and participation, and saw people explore ways to increase a sense of shared atmosphere over distance with efforts to increase physicality. Yet large amounts of technology use generally did not persist as participants abandoned many forms of online interaction over time in a form of technology detachment and sometimes cleanse. These results point to design lessons for times of extreme disconnection between family and friends, such as during a pandemic, where control, participation, and atmosphere receive deep consideration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.027
GPT teacher head0.278
Teacher spread0.251 · 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

Quick stats

Citations31
Published2021
Admission routes2
Has abstractyes

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