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Record W2974479796 · doi:10.18438/eblip29577

Survey Confirms Strong Support for Intellectual Freedom in Public Collection Development Librarians

2019· article· en· W2974479796 on OpenAlexvenueno aff
Laura Costello

Bibliographic record

VenueEvidence Based Library and Information Practice · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual freedomCollection developmentFreedom of informationLibrary sciencePublic relationsPsychologyData collectionSociologyPolitical scienceLawComputer scienceSocial scienceCensorship

Abstract

fetched live from OpenAlex

A Review of:
 Oltmann, S. M. (2019). Important Factors in Midwestern Public Librarians’ Views on Intellectual Freedom and Collection Development: Part 1. The Library Quarterly, 89(1), 2-15. https://doi.org/10.1086/700659
 Abstract
 Objective – The article sought to explore whether librarian attitudes regarding intellectual freedom conform to the stance of the American Library Association (ALA).
 Design – Electronic survey.
 Setting – Public libraries in the Midwestern United States.
 Subjects – Subjects were 645 collection development library professionals employed in public libraries.
 Methods – An electronic survey was distributed to public library directors in nine Midwestern states and was completed by the library professional primarily responsible for collection development. The survey focused on community information and probed the participants for their stances on several intellectual freedom topics. 
 Main Results – The survey was sent to 3,018 participants via each state’s librarian and had a response rate of 21.37%. The first section of the survey focused on broad strokes statements representing the ALA’s stance on intellectual freedom for public libraries. The results revealed widespread agreement on these issues. More than 88% of participants agreed with statements like “public libraries should provide their clients with access to information from a variety of sources.” Despite strong agreement among participants, particular demographic characteristics were more likely to lead to disagreement with all statements including working in rural communities and not holding a master’s degree in library science.
 The next section of the survey focused on how strongly participants’ personal beliefs conformed to the intellectual freedom statements in the ALA’s Library Code of Ethics. Again, there was widespread agreement, with 94.9% of participants indicating that they agreed with the statement “we uphold the principles of intellectual freedom and resist all efforts to censor library materials.” Only one participant disagreed with the statement “it is the right of every individual to both seek and receive information from all points of view without restriction.” When asked whether the ALA’s stance on intellectual freedom ever conflicted with their personal beliefs, 39.8% of participants indicated that it did, 22% were unsure, and 40% had never experienced conflict. Participants holding a master's degree in library science and librarians in large cities were less likely to experience conflict between their personal beliefs and the ALA’s stance on intellectual freedom. In the free text comments, several participants indicated that they experienced conflict when the ALA’s stance did not reflect their personal beliefs or community values.
 Conclusion – While the overwhelming majority of respondents indicated that they agreed with the ALA’s stance on intellectual freedom, a minority of participants experienced some conflict. Respondents indicated that personal belief could create conflict when librarians committed to intellectual freedom were required to make choices in their professional work that conflicted with their own views. Conflict could also arise when collection choices made to support intellectual freedom were not supported by patrons in the community.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.305
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.300
Teacher spread0.246 · 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 designNot applicable
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

Citations1
Published2019
Admission routes1
Has abstractyes

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