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Record W2001727304 · doi:10.1177/1461444813508368

Is it live or is it timeshifted, streamed or downloaded? Watching television in the era of multiple screens

2013· article· en· W2001727304 on OpenAlexaff
Rhiannon Bury, Johnson Li

Bibliographic record

VenueNew Media & Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsAthabasca University
Fundersnot available
KeywordsDemographicsUploadResidenceSet (abstract data type)Descriptive statisticsComputer scienceMultimediaAdvertisingDemographyWorld Wide WebSociologyStatisticsMathematicsBusiness

Abstract

fetched live from OpenAlex

The viewing of television programming on screens other than a television set has become increasingly common. This article discusses the different modes of viewing that have emerged as a result of timeshifting, downloading, streaming and mobile technologies. Using data collected from an online survey ( n = 671) over a six-month period in 2010–2011, we present a descriptive and inferential statistical analysis of both traditional and emerging modes of viewing. We also examine whether significant differences exist across three demographic variables: gender, age and country or region of residence. Our findings show that while the majority of viewing still takes place in front of a television screen, the computer has achieved secondary screen status among North Americans and equal status among younger viewers and Europeans. Viewing on a mobile device remains minimal across all demographics.

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 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)0.002
metaresearch head score (Gemma)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.313
Teacher spread0.265 · 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 teacher head, not a consensus.

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

Citations44
Published2013
Admission routes1
Has abstractyes

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