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Record W2017705077 · doi:10.1108/07378830810920879

A new world for virtual reference

2008· article· en· W2017705077 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

VenueLibrary Hi Tech · 2008
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMetaverseVirtual worldComputer scienceOriginalityReference modelService (business)Field (mathematics)Value (mathematics)World Wide WebData scienceVirtual realityHuman–computer interactionSociologyBusinessSoftware engineering

Abstract

fetched live from OpenAlex

Purpose This paper aims to examine the emerging field of reference in virtual worlds and attempts to determine its place among existing reference services. The virtual world of Second Life is the focus for these virtual world services. Advantages of virtual world reference are highlighted and drawbacks are discussed. Design/methodology/approach The paper examines two existing virtual world reference projects in an attempt to determine both the feasibility of virtual world reference and the level of need for such a service. Findings Both virtual world reference projects were successful and appear to indicate there is a need for reference within Second Life. Research limitations/implications Virtual worlds and reference within these realms are at the very early stages. There is room for detailed analysis of issues raised within the paper. Practical implications The paper outlines the steps of creating a collaborative and institutional virtual world reference service, including training and implications. Originality/value This paper examines the emerging field of research and practice in virtual worlds and will be of significant interest to reference librarians.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.359
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.063
GPT teacher head0.322
Teacher spread0.259 · 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