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Record W4389818590 · doi:10.18438/eblip30317

Swimming Upstream in the Academic Library: Exploring Faculty Needs for Library Streaming Media Collections

2023· article· en· W4389818590 on OpenAlexvenueaboutno aff
Elsa Loftis, Carly Lamphere

Bibliographic record

VenueEvidence Based Library and Information Practice · 2023
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsnot available
Fundersnot available
KeywordsDiscoverabilityLibrary scienceSocial mediaQualitative propertyQualitative researchSociologyMedical educationPublic relationsPsychologyPolitical scienceMedicineComputer scienceWorld Wide WebSocial science

Abstract

fetched live from OpenAlex

Objective - To compare Portland State University’s (PSU) local experience of using streaming media to national and international trends identified in a large qualitative study by Ithaka S+R. This comparison will help librarians better understand if the PSU Library is meeting the needs of faculty with its streaming media collection through a series of faculty interviews. Methods and Intervention - Two librarians from PSU participated in a large, collaborative, two-part study conducted by Ithaka S+R in 2022, with 23 other academic institutions in the United States, Canada, and Germany As part of this study, the authors conducted a series of interviews with faculty from PSU’s Social Work and Film Studies departments to gather qualitative data about their use, expectations, and priorities relating to streaming media in their teaching. Ithaka S+R provided guided interview questions, and librarians at PSU conducted interviews with departmental faculty. Local interview responses were compared to the interviews from the other 23 institutions. Results - PSU Library had a higher rate of faculty satisfaction than in the larger survey. Discussions raised concerns around accessibility of content, which was novel to PSU, and did not meaningfully emerge in the broader study. Local findings did line up with broader trends in the form of concerns about cost, discoverability, and lack of diverse content. Conclusions - The data collected by Ithaka S+R’s survey, which was the first part of their two-part study, is useful as it highlights the trends and attitudes of the greater academic library community. However, the second portion of the study’s guided interviews with campus faculty reinforced the importance of accessibility, the Library’s provision of resources, and the relationships between subject liaisons and departmental instructors. It emphasized that Portland State University’s Library has built a good foundation with faculty related to this area but has not been able to provide for every streaming instructional need. Reasons for this include limited acquisitions budgets, constraints of staff time, and market factors.

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)0.007
metaresearch head score (Gemma)0.018
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0150.004
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.054
GPT teacher head0.277
Teacher spread0.223 · 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 designQualitative
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
Published2023
Admission routes2
Has abstractyes

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