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Record W2312201964 · doi:10.1386/eme.10.3-4.303_1

Time and Space on Skype: Families Experience Togetherness While Apart

2011· article· en· W2312201964 on OpenAlexaff
Almond Pilar N. Aguila

Bibliographic record

VenueExplorations in Media Ecology · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIllusionSpace (punctuation)Voice over IPPhenomenology (philosophy)The InternetInternet privacyComputer scienceMultimediaSociologyPsychologyWorld Wide WebCognitive psychologyEpistemology

Abstract

fetched live from OpenAlex

Skype, a voice over Internet protocol (VoIP) system, allows people to communicate through text, audio, and visual exchanges across short or great distances. At less than a decade old, it hosts the interaction of as many as 30 million people at one time (Skype, 2011). Its services, some free and others for fee-based, are especially valuable to fragmented families. This is despite the limits of technology to truly allow for "being" and "keeping" in touch while apart. Skype may create the illusion of being together because it brings distant sounds and images closer. However, it also may simultaneously emphasize the distance between people. The screen that draws us together also may keep us apart. Through phenomenology, the researcher presents some facets of the Skype experience. Particular attention is given to how families encounter time and space using a technology designed to overcome distant time and distant space.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0160.012
Scholarly communication0.0060.007
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.055
GPT teacher head0.290
Teacher spread0.235 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2011
Admission routes1
Has abstractyes

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