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Record W7036243004

Analyses of Mentoring Expectations, Activities and Support in Canadian Academic Libraries

2014· article· en· W7036243004 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2014
Typearticle
Languageen
FieldPsychology
TopicFlow Experience in Various Fields
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringAcademic libraryWork (physics)Higher educationProfessional developmentCareer development
DOInot available

Abstract

fetched live from OpenAlex

Mentoring expectations, activities, and support in Canadian college and university libraries were investigated by surveying 332 recent MLIS graduates, practicing academic librarians, and library administrators. Findings indicate that the presence of a mentoring program will help attract new librarians, retain them, and aid in restructuring efforts that are currently facing many academic libraries. Preferred mentoring activities include those belonging to psychosocial support, career guidance, and role modeling themes. Other results find that librarians who were mentored as new librarians, have more than 10 years of experience, and work in large academic institutions are significantly more likely to mentor others. Although currently not well-supported by academic administrators, this research shows that mentoring programs could be sustainable. Mentoring improves the professional experience for librarians who are more satisfied and engaged with their careers, which in turn benefits the organization with less turnover. Practical information from this research will guide academic library practitioners in current mentoring relationships, and library leaders can extrapolate results to support planning and implementation of mentoring programs. Implications for LIS education are also discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.121
GPT teacher head0.380
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2014
Admission routes1
Has abstractyes

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