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Record W1538128693 · doi:10.18438/b8rs5d

Typology of Librarian Status Created for U.S. Land Grant Universities is Applicable to U.S. Research Libraries

2009· article· en· W1538128693 on OpenAlexvenueno aff
Kate Kelly

Bibliographic record

VenueEvidence Based Library and Information Practice · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsTypologyLand grantLibrary scienceDocumentationHigher educationSociologyPromotion (chess)Political sciencePopulationCategorizationCensusPublic relationsPublic administrationComputer sciencePolitics

Abstract

fetched live from OpenAlex

Bolin, Mary K. “Librarian Status at U.S. Research Universities: Extending the Typology.” Journal of Academic Librarianship 34.5 (August 2008): 416-24.
 
 Objective – To describe and categorize the status of librarians at 119 American research libraries using a typology of librarian status first developed for 50 U.S. land grant universities.
 
 Design – Survey.
 
 Setting – U.S. research universities.
 
 Subjects – 119 American research universities. Included are those universities whose library is a member of the Association of Research Libraries (ARL), in addition to land grant universities who are not also ARL members, and any flagship state universities who are neither ARL nor land grant universities. All subjects are classified as either “research – very high” or “research – high” in the Carnegie Classification of Institutions of Higher Education. The 119 institutions represent a total census of the selected population.
 
 Methods – The websites of the 119 institutions were surveyed and data on institutional characteristics such as governance, size and geography collected. Additionally, data describing librarian status characteristics such as administrator title, rank systems and tenure status was gathered from sources such as promotion and tenure documentation, faculty handbooks, and policy manuals available on websites. Data was compiled on a spreadsheet and imported into SPSS which was used to create frequencies and cross tabulations. Data was categorised and cross-tabulated using a typology of status originally applied to 50 land grant universities in a previous study. The typology comprises four possible status types for librarians: 
 
 Type 1 – Faculty: Professorial ranks.
 Type 2 – Faculty: Other ranks with tenure.
 Type 3 – Faculty: Other ranks without tenure.
 Type 4 – Non-faculty: Professional or academic staff.
 
 Main Results – In the 119 institutions surveyed, librarians held faculty status at 74 (62%) institutions, of which 63 (51%) provided tenure track positions. At the remaining 45 (38%) institutions, librarians were considered non-faculty. 
 
 Of the 50 “land grant” institutions in the population, 40 (80%) had librarians with faculty status and 35 (70%) provided tenure track. Ten universities (20%) considered librarians non-faculty. 
 
 Of the 97 ARL libraries in the population, 55 (57%) had librarians with faculty status and 44 (45%) provided tenure track. Non-faculty librarians were found at 42 (43%) of these institutions.
 
 Of the 90 public institutions in the population, 68 (76%) had librarians who were faculty, 57 (64%) provided tenure track, and 22 (24%) had non-faculty librarians. 
 
 Among the 29 private institutions the status ratios were reversed with only 4 (13%) institutions having librarians ranked as tenure track faculty (type 1 or type 2) and 23 (80%) having non-faculty librarians.
 
 In the total population (119) type 3 “Faculty: Other ranks without tenure” was the least common category, 48% (57) of libraries were headed by a dean, 67% (80) of institutions had librarian representation on faculty senate and as the size of an institution increased the likelihood of librarians having faculty rank decreased. “Dean” was the most popular administrator title in the population; it correlated with professorial rank and was strongly associated with tenure. Having tenure was, in turn, strongly associated with faculty senate representation. In the Northeast census region type 4, non-faculty staff predominated while type 1 was rare; in the Midwest there was an almost even split between type 1 and type 4; in the South there was a fairly even spread across all four types, and in the West a fairly even spread across types 1, 2 and 4.
 
 Finally, the data showed that as the size of an institution increased, the likelihood of librarians having faculty rank decreased.
 
 Conclusion – The typology created for land grant universities can be extended and applied to a wider population. It is valid and reliable both for organizing information about librarian status and for comparing institutions and population segments.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.955
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.526
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 head0.040
GPT teacher head0.347
Teacher spread0.307 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2009
Admission routes1
Has abstractyes

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