MétaCan
Menu
Back to cohort
Record W3014405146 · doi:10.1515/opis-2020-0002

Why intellectual freedom? Or; Your values are historically contingent

2020· article· en· W3014405146 on OpenAlexaff
Caitlin Ratcliffe

Bibliographic record

VenueOpen Information Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIntellectual freedomEnlightenmentValue (mathematics)Freedom of thoughtPoliticsSociologyCornerstoneContext (archaeology)Intellectual historyConversationAcademic freedomLawSocial sciencePolitical scienceEpistemologyHistoryHigher educationCensorshipPhilosophy

Abstract

fetched live from OpenAlex

Abstract Intellectual freedom is a cornerstone value of library and information studies (LIS) in the twenty-first century. However, LIS institutions have not always held intellectual freedom with the significance it has today. Historic analysis situates the development of intellectual freedom in the context of the European Enlightenment. This systematized review analyzes the use of the phrase “intellectual freedom” in primary sources from the mid-eighteenth century until the American Library Association (ALA) published the Library’s Bill of Rights in 1939 in order to examine the historic origins and development of intellectual freedom as a shared cultural value prior to 1939. I consider the development of intellectual freedom from two perspectives: as a shared value that developed in Britain and the United States during the eighteenth, nineteenth, and early twentieth centuries and as a meaningful phrase found in primary sources regarding religion, politics, and education. By contextualizing the origins of intellectual freedom with Enlightenment values and discourse, it is hoped this study will illustrate the fundamental nature of intellectual freedom as a value within LIS philosophy and contribute to the conversation about intellectual freedom as a continually negotiated concept that must be held in balance with social responsibility.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.053
Scholarly communication0.0160.019
Open science0.0010.005
Research integrity0.0030.006
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 head0.120
GPT teacher head0.352
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueOpen Information ScienceSame topicLibrary Science and AdministrationFrench-language works237,207