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“In YouTube We Trust”

2014· book-chapter· en· W2489464635 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

VenueAdvances in human and social aspects of technology book series · 2014
Typebook-chapter
Languageen
FieldEnergy
TopicEnergy, Economy, and Technology Trends
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPolitical dissentDissentPublic spherePoliticsThe InternetPolitical scienceHuman rightsPolice brutalityMedia studiesSocial mediaAsset (computer security)SociologyLawComputer securityWorld Wide Web

Abstract

fetched live from OpenAlex

YouTube has enabled new forms of political dissent in Arab societies. This chapter examines the development and rise of YouTube in the Arab world. In particular, it looks at how this video exchange site is invigorating the online public sphere’s vigorous demand for political reform and respect for human rights. Specifically, this investigation explores how social networking capabilities have made YouTube an effective asset in dissidents’ arsenal among Arab activists. To examine the vibrancy of this fledgling online public sphere, the chapter scrutinizes how activists incorporated YouTube videos to shed light on human rights abuses, specifically police abuse, corruption, and brutality in two Arab countries, Egypt and Morocco. The chapter concludes with a discussion of the new campaigning modes that the Internet and YouTube have facilitated.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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