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Record W1975151871 · doi:10.5596/c13-031

Student Involvement in Health Librarianship

2013· article· fr· W1975151871 on OpenAlexaffvenueabout
Morgan Barnes, Kate Conerton

Bibliographic record

VenueJournal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada · 2013
Typearticle
Languagefr
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLibrary scienceEvent (particle physics)Work (physics)Variety (cybernetics)SociologyPublic relationsMedical educationPolitical scienceMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

It can be difficult for library students to learn enough about different areas of librarianship to determine where their interests lie. Work experiences are valuable, but they can be highly competitive and require a significant time investment to secure. Fortunately, paid positions are not the only way students can explore health librarianship. Students at the University of British Columbia (UBC) can join the Canadian Health Libraries Student Interest Group (CHLA-SIG) to learn more about the field. Over the past year our group organized several events to help students engage with health librarians. Library tours are a useful way to introduce groups of students to a particular library. Librarians at the College of Physicians and Surgeons of British Columbia and the Hamber and Biomedical Branch hospital libraries took the time to show our members how their libraries operated. Such ventures are invaluable for students, as they provide the opportunity to see how these libraries operate within health organizations and how their patron base differs from that of other libraries. The librarians, who kindly agreed to host these tours, took an hour out of their day to show the students around, and all involved were able to take advantage of the opportunity to network. A joint event with the Health Libraries Association of British Columbia (HLABC) allowed students to talk to a variety of health librarians. Combining the event with a regular HLABC meeting made attending more convenient for the librarians. By sitting in on the meeting, students also learned more about upcoming events and the workings of a professional group. Paid and unpaid work opportunities allow students to contribute to health library work. Paid work opportunities are often facilitated through student work programs at universities, such as the student librarian positions offered at UBC. These programs allow university affiliated libraries to hire student librarians to work in a variety of positions, generally with funding assistance from the university. Students can provide a fresh perspective to recurring problems, and librarians have the opportunity to act as mentors. Ideally all work opportunities would be paid; student labour is valuable and many students cannot afford to work for free. However, some libraries may lack the funds necessary to hire a student for a project. Volunteer positions allow librarians to bring in much-needed additional help at no monetary cost, and students are able to strengthen their resumes. These projects generally require the commitment of only a few hours per week and can often be integrated with library programs to allow students to receive credit for their efforts. Many positions such as these are advertised by word of mouth, and student members of the CHLA-SIG have the opportunity to take advantage of these offers. The opportunity to engage with working librarians helps students determine their interests and appreciate the demands of various types of library work. Health librarians with projects or an interest in mentoring might benefit from contacting a local library program or student group to discuss possible student work or volunteer opportunities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.113
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0100.003
Scholarly communication0.0250.007
Open science0.0020.022
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.1130.032

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 head0.022
GPT teacher head0.342
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes3
Has abstractyes

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