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Project Gutenberg: the Oldest Digital Library of the USA

2017· article· en· W2773032083 on OpenAlexaboutno aff
Tatiana E. Savitskaya

Bibliographic record

VenueBibliotekovedenie [Russian Journal of Library Science] · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinTech, Crowdfunding, Digital Finance
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceIdeologyPublic domainPolitical scienceDigital libraryDomain (mathematical analysis)Electronic libraryWorld Wide WebPublic relationsPublic administrationSociologyGeographyComputer scienceLawArchaeologyPolitics

Abstract

fetched live from OpenAlex

The article is devoted to the Project Gutenberg (PG), the world’s oldest full-text digital library containing literature from the public domain. There are presented the main development stages, as well as ideological and organizational principles of the project, created by M. Hart in 1971. Special attention is paid to the specific features of this e-library, which is the oldest crowdfunding project based on cooperation with the international network of the “Distributed Proofreaders” and the creative potential of the Web 2.0 society. There is examined the cluster of PG affiliated projects in individual countries, developed with the participation of the volunteer community: PG Australia, PG Canada, PG Europa, PG Luxemburg, PG Russia (Rutenberg), etc. There are analysed the new models of social communication, on which is based the volunteer project for dissemination of free electronic copies of publicly available literature, and its place in the formation of the institutional infrastructure of the information society.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0010.002
Scholarly communication0.0130.061
Open science0.0070.002
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 head0.028
GPT teacher head0.246
Teacher spread0.218 · 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 designObservational
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

Citations3
Published2017
Admission routes1
Has abstractyes

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