It's Just Plain Common(s) Sense: Grounding Space Planning in Evidence-Based Research
Bibliographic record
Abstract
The Graduate Resource Centre (GRC) at The University of Western Ontario (Western) is a special library independently operated by the Faculty of Information and Media Studies (FIMS). Exclusively serving the communities of FIMS four graduate programs – Journalism, Media Studies, Library and Information Science and Popular Music and Culture – the GRC has a well-established and longstanding tradition of supporting teaching and learning excellence at FIMS.\nAs Western’s youngest and fastest growing Faculty, FIMS quickly outgrew its existing space on campus. Plans to relocate the entire Faculty, including its in-house library and information centre, are now underway. The University has earmarked a much larger building on campus for FIMS and the Faculty is now next in line for new space.\nWith this pending move on the horizon comes an opportunity for the Faculty to reconsider not only the physical design of the GRC, but also its existing service model. Is a learning commons a possibility? A Faculty-wide needs assessment will help determine the answer.\nIn this session, conference delegates will hear about the forming stages of planning FIMS’ new library and information facility as the GRC sets out this exciting journey. Attendees will hear about the collaborative approach used to ground decision making in evidence-based research, where students in all three sections of a mandatory LIS research methods course responded to a request for proposals from the GRC. Methodologies adopted for the needs assessment, as well as preliminary research results, will also be shared.
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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 | 0.502 | 0.507 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.023 | 0.015 |
| Science and technology studies | 0.029 | 0.159 |
| Scholarly communication | 0.063 | 0.077 |
| Open science | 0.012 | 0.071 |
| Research integrity | 0.017 | 0.025 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".