Biological Foundations of Synchrony: Implications for Team Outcomes
Bibliographic record
Abstract
This symposium will focus on Interpersonal synchrony, which refers to the coordination of neurological, physiological, and behavioral states between individuals. Extant research, across disciplines, has demonstrated the effects of these forms of synchrony on fostering positive affect, relationship-building, and other important aspects of communication that can impact work outcomes such as job satisfaction, group cohesion, and performance. In this symposium, we focus on the contribution of research on synchrony to management theory and research. We highlight how neural and physiological forms of synchrony capture deep-seated, instantaneous dynamics in work teams. Presenters will demonstrate the role of individual and group-related processes in facilitating synchrony and examine its role on individual and team outcomes. This symposium will advance the field by offering new directions for theorizing and guidelines for future research on team processes and outcomes. How consensus-building conversation changes our minds and aligns our brains Author: Beau Sievers; Harvard U. Author: Christopher Welker; Dartmouth College Author: Uri Hasson; Princeton U. Author: Adam M. Kleinbaum; Dartmouth College, Tuck School of Business Author: Thalia Wheatley; Dartmouth College The Effects of Justice and Group Outcomes: The Role of Physiological/Behavioral Synchrony Author: Nir Milstein; HEC Lausanne - UNIL Author: Gavin J. Kilduff; New York U. Author: Ilanit Gordon; Bar Ilan U. The Effects of Charismatic Leadership on Interpersonal Synchrony and Task Performance Author: Alon Burns; Bar Ilan U., Department of Psychology, Israel Author: Yair Berson; McMaster U. Author: Ilanit Gordon; Bar Ilan U. The Impact of Team Circadian Asynchrony on Team Creativity and the Role of Team Temporal Processes Author: Stefan Volk; U. Of Sydney Author: Yan Pan; Xi'an Jiaotong U. School of Management Author: Yufan Shang; Xi'an Jiaotong U. Author: Christopher Barnes; U. of Washington
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".