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Record W1549821503 · doi:10.18438/b8003w

Administrator Interest is Perceived to Encourage Faculty and Librarian Involvement in Open Access Activities

2014· article· en· W1549821503 on OpenAlexvenueno aff
Eamon Tewell

Bibliographic record

VenueEvidence Based Library and Information Practice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsDirectoryStakeholderMedical educationPsychologyLibrary scienceSample (material)Public relationsPolitical scienceMedicineComputer science

Abstract

fetched live from OpenAlex

A Review of:
 Reinsfelder, T.L., & Anderson, J.A. (2013). Observations and perceptions of academic administrator influence on open access initiatives. Journal of Academic Librarianship, 39(6): 481-487. http://dx.doi.org/10.1016/j.acalib.2013.08.014 
 
 Abstract
 
 Objective – To better understand the roles and influence of senior-level academic administrators, such as provosts, on open access (OA) activities at the institutional level, including whether librarians perform these activities regardless of administrative interest.
 
 Design – Web-based survey questionnaire combined with multiple regression analysis.
 
 Settings – The research was conducted online using surveys emailed to potential participants at not-for-profit public and private academic institutions in the United States with a FTE of greater than 1000.
 
 Subjects – Academic library directors at selected colleges and universities. 
 
 Methods – Using directory information from the National Center for Education Statistics (NCES) and filtering institutions according to not-for-profit status, size, and special focus, a survey sample of 1135 colleges and universities was obtained. Library websites were used to acquire contact information for library directors. In summer 2012 the 43-item survey questionnaire was distributed to respondents online using Qualtrics. The four primary variables were each comprised of multiple questionnaire items and validated using factor analysis, and the data was explored using multiple regression.
 
 Main Results – The survey received 298 respondents for a 26% response rate, though the number of incomplete responses is not stated. Among four stakeholder groups (faculty, publishers, librarians, and senior academic administrators), library directors perceived librarians as having the greatest influence in regards to the adoption of open access (mean = .7056), followed by faculty (.3792), administrators (.1881), and publishers as having a negative impact (–.3684). A positive correlative relationship was determined between Administrator Attention to Open Access—a key variable operationalized by combining eight questionnaire items—and the variables Librarian Commitment to Open Access, Faculty Commitment to Open Access, and Faculty Proclivity Toward Open Access, with the latter especially the case at lower levels of administrator support. Regarding institution size, library directors perceived a higher likelihood of faculty adherence and librarian commitment to OA at large institutions (over 20,000). A given institution’s public or private status and geographic region were not significant predictors of faculty or librarian commitment or adherence to open access.
 
 Conclusions – The study finds that academic library directors perceive librarians to have the strongest influence upon adoption of open access, and senior academic administrator attention to open access is positively linked to the OA activities of faculty and librarians. Larger institutions are considered to have greater commitment to OA, potentially due to differing missions according to institution type. The authors recommend that open access advocates consider administrator roles and target administrator support when seeking to increase participation in OA.

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 categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0080.814
Open science0.0010.001
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 head0.080
GPT teacher head0.385
Teacher spread0.304 · 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
Published2014
Admission routes1
Has abstractyes

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