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Record W2219759973 · doi:10.1108/rsr-03-2015-0019

The finals stretch: exams week library outreach surveyed

2015· article· en· W2219759973 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReference Services Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsOutreachStaffingOriginalityMedical educationSpace (punctuation)Library scienceAcademic libraryPsychologyComputer scienceMedicinePolitical scienceNursingCreativity

Abstract

fetched live from OpenAlex

Purpose – The purpose of this article is to explore the outreach programming and support services offered at academic libraries during final exams week. The article discusses the need to provide this specialized programming, and its impact on the role of the librarian, and the use of library space. Design/methodology/approach – A 21-question online survey was sent to nine library listservs. Respondents were asked about their library’s planning, implementation and assessment of their programming. Participants described their library’s final exams week outreach activities and offerings. Findings – The survey garnered 279 responses. Nearly 40 per cent of respondents collaborate with campus and non-campus partners to provide programming. Most common offerings include extended library hours; therapy animals; as well as games; and arts and crafts. Nearly 90 per cent of respondents reported utilizing virtual media outlets for communication of final exams week events. Most common challenges included lack of funding and staffing issues. Practical implications – The survey results reflect the efforts of librarians and library staff members who are addressing the study break needs of students during the most stressful time in the semester. Originality/value – This paper provides an overview of academic library final exams week outreach initiatives and activities at institutions located in the USA and Canada.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.012
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.122
GPT teacher head0.350
Teacher spread0.227 · 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