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New media and innovative technologies - by Tal Samuel-Azran & Dan Caspi

2009· article· en· W2052539808 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.

Bibliographic record

VenueJournal of Communication · 2009
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Philosophy
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPagerLatin AmericansPerspective (graphical)SociologySocial mediaMedia studiesMiddle EastThe InternetNew mediaTerrorismEmerging technologiesAdvertisingTelecommunicationsPolitical scienceLawBusinessEngineeringComputer scienceWorld Wide WebVisual artsArt

Abstract

fetched live from OpenAlex

Israel based scholars Tal Samuel-Azran and Dan Caspi have brought together a collection of essays in their book New Media and Innovative Technologies with the aim to, “establish and conduct multi-directional dialogue and develop a discourse among media scholars, practitioners, entrepreneurs and policymakers” (p. 9). This collection makes a contribution to the growing body of information society and new media literature from a uses and gratifications perspective (U&G) on new media technologies and a global comparative approach among, mainly, non-western contexts, including the Middle East and Latin America. The range of topics covered in the ten chapters spans a number of different media platforms such as the killer application of the day, Second Life, social networks, Internet television, gaming, mobile phones, cyber-terrorism, and pagers. The authors are equally as diverse as they are based in the Balkans, the Middle East, Latin America, and the U.S. and work in media and communications, law, gaming studies, and psychology.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.254

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 communication0.0000.001
Open science0.0010.000
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 head0.030
GPT teacher head0.272
Teacher spread0.242 · 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