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Record W1590679172 · doi:10.18438/b8vw3m

Birds of a Feather Flock Together: The Congruence of Personality Types within Librarians’ Subject Specialties

2008· article· en· W1590679172 on OpenAlexvenueno aff
John W. Loy

Bibliographic record

VenueEvidence Based Library and Information Practice · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyConscientiousnessExtraversion and introversionBig Five personality traitsOpenness to experiencePersonalityDocumentationAutonomySocial psychologyApplied psychologyMedical educationComputer scienceMedicinePolitical science

Abstract

fetched live from OpenAlex

A Review of:
 Williamson, J.M., A.E. Pemberton, and J.W. Lounsbury. “Personality Traits of Individuals in Different Specialties of Librarianship.” Journal of Documentation 64.2 (2008): 273-86.
 
 Objectives – To investigate the personality traits of a range of librarians and information professionals using the Personal Style Inventory (PSI), and to investigate whether the personality traits of those in person-orientated library specialties differ from those in technique-orientated specialties.
 
 Design – Self-selecting survey.
 
 Setting – Solicitations to complete the survey were sent out via 10 e-mail discussion lists, and paper copies were made available at the annual American Library Association conference in 2002.
 
 Subjects – 2,075 librarians and information science professionals.
 
 Methods – Participants completed the survey either in print format, as an e-mail attachment or a Web form. The survey format was an adaptation of the PSI scale using 13 of the accepted 16 scales, namely:
 
 • adaptability
 • assertiveness
 • autonomy
 • conscientiousness
 • customer service orientation
 • emotional resilience
 • extraversion
 • openness
 • optimism 
 • teamwork
 • tough-mindedness
 • visionary-operational work style
 • work drive
 
 Responses were analysed using a two-step cluster analysis technique, and participants were grouped into seven clusters.
 
 Main Results – The largest group of respondents was cataloguers at 23.7%, followed by other (health or law) 19.1%, academic reference librarians 13.2%, special librarians 12.3% with all other groups in single figures. Respondents were divided up into the following seven clusters.
 
 • Cluster 1, the “unadaptive” group -- so labelled because several unadaptive traits such as low emotional resilience, low optimism, low teamwork, and low work drive are included.
 • Cluster 2, “adaptive academic reference librarians” -- high on customer service orientation, extraversion and teamwork, and low on tough-mindedness. 
 • Cluster 3, “adaptive cataloguers” -- low on customer service orientation and possessing a more operational work style. 
 • Cluster 4, “adaptive special librarians” -- high on autonomy, customer service orientation and extraversion. 
 • Cluster 5, “adaptive distance education librarians, public librarians, records managers, and school librarians” -- possessing a visionary work style and scoring high on adaptability, assertiveness, customer service orientation, emotional resilience, high extraversion, openness, optimism, and teamwork; scoring low on tough-mindedness.
 • Cluster 6, “adaptive other information professionals” -- also possessing a visionary work style and with high scores on adaptability, assertiveness, autonomy, customer service orientation, emotional resilience, extraversion, openness, optimism, teamwork, and work drive.
 • Cluster 7, “adaptive archivists and systems librarians” scoring high on assertiveness, openness, and tough-mindedness.
 
 Most clusters were comprised of a single occupational group, with only Clusters 1 and 5 made up of individuals from more than one group.
 
 Conclusion – The results indicate that different librarianship subspecialties can be differentiated by personality traits, and that individuals are likely to be drawn to either person-orientated or technique-orientated library specialties depending on their personality traits.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.102
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 head0.020
GPT teacher head0.231
Teacher spread0.211 · 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
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

Citations0
Published2008
Admission routes1
Has abstractyes

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