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Record W2069090196 · doi:10.1108/00907320910957198

Undergraduate research in the public domain: the evaluation of non‐academic sources online

2009· article· en· W2069090196 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReference Services Review · 2009
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsContext (archaeology)OriginalityResource (disambiguation)Domain (mathematical analysis)Relation (database)Public domainValue (mathematics)PsychologyOrder (exchange)Computer scienceKnowledge managementPublic relationsMedical educationPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Purpose This paper seeks to suggest that criteria commonly used to teach undergraduates to evaluate online resources are inadequate when dealing with non‐academic items in the public domain. It aims to argue that these resources should not be ignored by librarians or undergraduates, but that they must still be evaluated. An alternative method of evaluation, based on the concepts of comparison, corroboration, motivation and purpose is to be proposed. Design/methodology/approach Inadequacies of current evaluative standards are revealed, specifically in relation to the current context of how and where undergraduates conduct research. Drawing on Meola's contextual framework for evaluation, as well as the thoughts of Metzger, ways to handle the evaluation of non‐academic resources online emerge. Findings Librarians must consider the place of non‐academic public domain items in current undergraduate research projects, and the challenges these items pose to common guidelines for the evaluation of sources. Evaluation methods must be rethought and based on a more context‐specific approach in order to be relevant when working with non‐academic resources online. Originality/value Librarians who focus mainly on the “peer‐reviewed” designation or other standard evaluative criteria to help students determine what an appropriate research resource is, and who are unsure of how to guide students in their use of non‐academic public domain items, will find here suggestions to guide their thinking and inform their practices.

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)0.008
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.741
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0050.000
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 head0.184
GPT teacher head0.417
Teacher spread0.232 · 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