EDRA Archives donated by John Zeisel and Jacqueline Vischer
Bibliographic record
Abstract
Boxes #21-24 -- Books Dr. Jacqueline Vischer is an Environmental Psychologist specializing in environments for work. She is a founder of the field known as workspace psychology. She has published several books, including Environmental Quality In Offices (1989), Workspace Strategies: Environment As A Tool For Work (1996), L’Évaluation des environnements de travail : la méthode diagnostique (co-author Gustave-Nicolas Fischer, 1998), and Space Meets Status: Designing Workplace Performance (2005). In addition, Vischer has co-edited two books with Wolfgang Preiser. She speaks at trade shows and conferences throughout North America and in Europe, Asia and Australia, and she has contributed numerous chapters to volumes on facilities management, building performance, workplace psychology and building programming and evaluation. As expert consultant, Vischer has advised a wide range of organizations internationally on managing workspace comfort, designing innovative workspace, and planning workspace change. She is Professor Emeritus at the University of Montreal, where she successfully ran the Interior Design program and founded the New Work Environments Research Group (Groupe de recherche sur les environnements de travail). Many of her writings are available at – and can be downloaded from – www.jacquelinevischerbiu.com
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".