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Record W2755762157 · doi:10.18438/b82372

Medical Students in the United States Reveal Their Ideal Expectations to Help Planners of a New Library

2017· article· en· W2755762157 on OpenAlexvenueno aff
Aislinn Conway

Bibliographic record

VenueEvidence Based Library and Information Practice · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)Medical educationMedical libraryPlan (archaeology)PsychologyLibrary scienceComputer scienceMedicineGeography

Abstract

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A Review of: Aronoff, N. (2016). Surveying medical students to gauge library use and plan for a new medical library. Medical Reference Services Quarterly, 35(2), 187-203. http://dx.doi.org/10.1080/02763869.2016.1152144 Abstract Objective – To help plan for a new library by exploring student use of existing library services and identifying their priorities for the new space. Design – Online survey, sent via email. Setting – Medical school at a university in New York. Subjects – 585 medical students. Methods – The researchers emailed a 45-item online survey to all medical students enrolled at the school. Responses were anonymised and all questions were non-mandatory. Main results – 27% of students (157 out of 585) took part in the survey by answering at least one question. The questions were categorised into the following six topic areas: 1. Use of space and expectations for the new library space: More than half of the participants (67%) indicated that they rarely or never came to the library during the academic year in question. Of the students who reported frequenting the library on a daily, weekly, or monthly basis, the majority indicated that they preferred independent study to group study. The following resources were ranked as very important for an ideal library space: sufficient electrical outlets, strong wireless connectivity, printing facilities, individual and quiet study spaces, comfortable seating, online resources, computers, windows/natural light, and group study spaces. Open-ended responses indicated that students desire close proximity to food and beverage services, large study tables to accommodate reading materials and technology, improved opening hours, and satisfactory bathroom facilities. 2. Where medical students study: Of the participants, one third of students reported studying at home, 21% chose to describe the physical characteristics of their place of study rather than name a place, 18% of students studied in multiple places, and 16% studied in the library. The remainder studied in another library, cafés, or other locations on campus. Online resource use was much higher than borrowing figures with the majority of students indicating that they had never borrowed a print book (77%), a reserve book (90%), or a DVD (96%). In addition, 92% indicated never consulting a print reference book. Online resources were used at least once a semester by 90% of students. 3. Resource use and expectations: Most students used lecture notes, presentations, websites, personal copies of books, clinical decision support tools, online tutorials or video content, electronic journal articles, recorded video or audio lectures, medical apps, electronic books, clinical practice guidelines, or pocket manuals or pocket guides. Print books from the library were the least exploited resources with only 13% of students reporting their use. 83% of students ranked online resources as the most important feature of an ideal library. 4. Equipment use and expectations for equipment and technology: In terms of equipment required for an ideal library space, 88% of students indicated printers, 78% computers, and 69% scanners. Therefore, easy access to electrical outlets and strong wireless connections were hugely important. 5. Services: Book or article requests were only sought monthly or once per semester by 18% and 7% of students respectively. More than half of students (54%) felt that assistance from a librarian was a very important or important feature of an ideal library space. However, 68% never consulted a librarian in the past and of those who did they did not do so frequently. In-person or email contact with a librarian was preferred over other methods of communication. 52% of respondents were not interested in training provided by the library. Of those who were, online and virtual training was preferred by 51% when compared to face to face instruction. 6. Additional Feedback: The vast majority of students (90%) indicated that they would be interested in using the library outside of the existing opening hours of 9:00a.m. to 5:00p.m., Monday to Friday. Regarding the overall library service, 53% of students were satisfied or very satisfied, 26% were neither satisfied nor unsatisfied, and 21% were unsatisfied or very unsatisfied. Lighting, electrical outlets, and having a place to get food and drink were also prioritized by students in this section of the survey. Conclusion – The author concluded that since convenience was considered an important factor by students when choosing their place of study, the increased proximity of the new library should attract more students. In accordance with student preferences, both individual and group study spaces are planned for the new library. Sufficient electrical outlets and a glass façade increasing the amount of natural light will feature in the building. Core textbooks and reference books will be made available in a small area onsite despite the fact that this did not feature in the original plan. Computers and printers will also feature in the new library for students who require equipment to facilitate their study activities. A computer lab to accommodate 30 students will enable face to face instruction on library resources. A professional librarian will not be based at the new library. In-person services will be available at another library with sufficient staffing.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.091
GPT teacher head0.471
Teacher spread0.380 · 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

Labeled directly by 2 models reading the full record.

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".

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Citations0
Published2017
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