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Record W3159419039 · doi:10.24908/iqurcp.7485

Sin and Wikipedia: Mass Communication in the 21st Century

2017· article· en· W3159419039 on OpenAlexvenueno aff
Celine Song

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetPower (physics)PrerogativeMedia studiesImpossibilityInteractivityOmnipresenceSociologyInternet privacyArtPoliticsPolitical scienceComputer scienceWorld Wide WebLawPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Using French philosopher Gabriel Marcel's influential work on technology as a jumping point, this paper takes a critical look at the nature and power of 21st century's major technique of mass communication. Marcel discusses the topic in his book Man and Mass Society using the time‐sensitive example about radios, used as a major means to propaganda and human degradation back in WWII. But what would he say about internet in the 21st century? Mass media is so powerful in Marcel's opinion that it "usurps a prerogative which looks like a distorted analogue, a caricature, of divine omnipresence". Although Marcel's worry about communication technique that "what starts off as a collection of means […] become the centre, the focus, of an obsessive cult" is a valid one, internet's problem of "too much information" and its innate interactivity are effective antidotes to many of such dangers. The impossibility of propaganda in the 21st century, the active membership and impotence of an individual internet user, and the non‐uniformity of internet are also discussed in depth.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.744
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.133
GPT teacher head0.440
Teacher spread0.307 · 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 designTheoretical or conceptual
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

Citations0
Published2017
Admission routes1
Has abstractyes

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