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Record W1993714644 · doi:10.1177/0270467612458066

The Desymbolization of Human Life in Contemporary Mass Societies

2012· article· en· W1993714644 on OpenAlex
Willem H. Vanderburg

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

VenueBulletin of Science Technology & Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Academic Research Areas
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCivilizationCultSociologyHuman lifeJudaismChristianityHuman beingEnvironmental ethicsRoot (linguistics)Social lifeAestheticsSocial scienceHumanityPhilosophyReligious studiesLawPolitical scienceLinguisticsTheology

Abstract

fetched live from OpenAlex

Judaism and Christianity, the religious traditions most influential on Western civilization, taught that the universe was created by the Word and that human beings were distinguished from all other animals by their use of words. What characterizes our age is a growing reliance on images as our words are being desymbolized. This desymbolization of experience, language, and culture results primarily from what Jacques Ellul has called technique, which has been built up with discipline-based approaches to knowing and doing. It has helped create a new human nature as well as new social forms called mass societies, in which integration propaganda is required to make up the deficits of our highly desymbolized cultures. As a result, life in a mass society defers to science for knowing and to technique for doing, thereby creating a cult of efficiency that is at the root of our economic, social, and environmental crises. How far this desymbolization can go may well turn out to be the decisive issue of the 21st century.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.025
Scholarly communication0.0000.000
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 head0.057
GPT teacher head0.353
Teacher spread0.296 · 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