Bibliographic record
Abstract
The goal of this symposium is to address the call from last year which highlighted the interest in the application of intuition research in practical settings, particularly in, but not limited to, the organizational context. The theme ‘Intuition: Research and Practice’ emerged as a natural progression of this line of thinking and serves as another important step in consolidating knowledge in the discipline, making it more accessible to decision makers as individuals and in organizations. Each of the presentations explores the construct of intuition in a different setting and reports findings from an empirical study. Woiceshyn illustrates with a case study of a CEO’s decision making what implications his integrated intuiting and reasoning approach had in his organization. Akinci and Sadler-Smith explore the role that creative intuitions play in exceptional innovations by focusing on the early stages and the front-end of the invention and innovation process. Wang and Li study intuition in team-level aerospace innovation based on the Chinese traditional philosophical notion of 'Wuity'. Dörfler and Stierand examine the concept of ‘indwelling’ through studying intuitions of Nobel laureates and top chefs. Meziani investigates how film workers make sense of their intuitions on the set, in situ and in a collective context, in order to communicate them to others. Finally, Bas and Sinclair introduce the concept of intuitive wayfinding to a group of analytical thinkers in an IT company to assist in integrating intuition into their skillset. Intuiting and reasoning: Managing subconscious and conscious processing for better decisions Presenter: Jaana Woiceshyn; U. of Calgary The role of intuition in exceptional innovations Presenter: Cinla Akinci; U. of St Andrews Presenter: Eugene Sadler-Smith; U. of Surrey Wuity as higher cognition combining intuition and deliberation for creativity Presenter: Xin (Rachel) Wang; Rachel Presenter: Peter Ping Li; U. of nottingham ningbo china Understanding indwelling through studying intuitions of Nobel laureates and top chefs Presenter: Viktor Dorfler; U. of Strathclyde Presenter: Marc B. Stierand; Ecole Hoteliere de Lausanne Sensing, making, showing: When the body enacts intuition - Insights from film workers on the set Presenter: Nora Meziani; HEC Montreal Introducing analytical thinkers to intuitive wayfinding Presenter: Alina Bas; Alina Bas Consulting Presenter: Marta Sinclair; Griffith U.
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 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 | 0.066 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.006 | 0.065 |
| Scholarly communication | 0.024 | 0.022 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".