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Record W3140404902 · doi:10.29173/iasl8153

Censorship as a Human Dynamic: An International Perspective

2021· article· en· W3140404902 on OpenAlexvenueno aff
Sara Fine

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsCensorshipSanctionsIdeologyPersonalityLawSocial psychologySociologyPoliticsPerspective (graphical)PsychologyPolitical scienceLaw and economicsEpistemology

Abstract

fetched live from OpenAlex

By their very nature, democracies around the world affirm belief in intellectual freedom of thought, speech and written word. In every such society, however, a counterforce exists that would limit such freedom and impose restrictions and sanctions against material viewed by some as anti-moral or anti-social. Free speech and censorship are opponents on a battlefield where each side to the conflict feels a righteous and indignant claim on behalf on its own cause.
 This paper presents a psychological perspective which tries to understand censorship - where it comes from, who "has it" and why, and how it functions in all human beings to keep them psychologically safe and sane.
 Based on personality theory, this paper explores the psychological indications for censorship as a human dynamic and its bases in family ideology, social group norms, demographic factors and individual personality development. This paper does not consider the legal, moral or politcal aspects of censorship, nor does it recount the may blatant subtle censorship events and conditions in countries around the world. Rather, it considers the individual and group conditions underlying personality development that are likely to result in the individual's inclination to assume legal, moreal and political censorship activities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.051
GPT teacher head0.404
Teacher spread0.354 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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