Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.019 | 0.020 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".