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Record W2615711744 · doi:10.29173/cais644

How Information First Became a Thing: Early Developments in the United States and Soviet Union

2013· article· fr· W2615711744 on OpenAlexvenueno aff
Thomas Haigh, Maria Haigh

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languagefr
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsChoseHumanitiesInformation sciencePolitical sciencePhilosophySociologyLaw

Abstract

fetched live from OpenAlex

Until about 1950 usage of the word “information” was inextricably connected with the act of communication. Yet today we are used to thinking of what Michael Buckland called “information as thing.” The paper explores the process by which information was first conceptualized as a thing, which we argue took place among American computer engineers in the early 1950s. The Soviet Union provides a contrasting case, in which a more active, cybernetic concept of information remained dominant within computing culture.Jusqu’à environ 1950, l’utilisation du mot « information » était intimement liée à l’acte de communication. Par contre, de nos jours, nous sommes habitués de penser à ce que Michael Buckland appelle « l’information comme chose » (information as thing). Cette communication explore le processus par lequel l’information a d’abord été conceptualisée comme chose, ce qui, selon nous, s’est produit chez les ingénieurs informatiques aux États-Unis, au début des années 1950. L’Union soviétique offre un contraste intéressant, où un concept d’information plus actif, cybernétique, est demeuré dominant dans la culture informatique.

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)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0090.028
Open science0.0040.001
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 head0.023
GPT teacher head0.215
Teacher spread0.192 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicHistory of Computing TechnologiesFrench-language works237,207