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Record W4300534953 · doi:10.18438/b8ng8h

Online Tutorials for Librarians Interested in Systematic Reviews

2008· article· en· W4300534953 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.

venuePublished in a venue whose home country is Canada.
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

VenueEvidence Based Library and Information Practice · 2008
Typearticle
Languageen
FieldPsychology
TopicFlow Experience in Various Fields
Canadian institutionsnot available
Fundersnot available
KeywordsSystematic reviewGrading (engineering)Library scienceDownloadComputer scienceWorld Wide WebMEDLINEEngineeringPolitical science

Abstract

fetched live from OpenAlex

The UK Higher Education Academy has commissioned and made available four online modules for librarians interested in undertaking systematic reviews. The Units are aimed at undergraduates in library and information studies preparing for their final project or dissertation. Postgraduates in library and information science should also find the materials relevant to their research training. Using examples from the library and information science literature the modules take the user through topics needed to carry out a systematic review including: what is a systematic review, formulating searches for research evidence, producing a systematic review (sifting and grading evidence) and meta-analysis, meta-synthesis and guidelines. The Units complement, but do not replace existing research methods modules. Authored by Dr. Christine Urquhart, Alison Yeoman and Dina Tbaishat from the University of Aberystwyth, UK, and Alison Brettle from the University of Salford, UK, the modules are available online or to download from http://www.ics.heacademy.ac.uk/resources/rlos/systematic_review/.

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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.122
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.353
Teacher spread0.279 · 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