Seeing the “we” in “me” sports: The need to consider individual sport team environments.
Why this work is in the frame
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Bibliographic record
Abstract
Most settings involve groups, as athletes often train in a environment even though they compete individually and often in opposition to their teammates. Despite the pervasiveness of sport, group dynamics research has almost exclusively investigated sports because members rely on one another during the competitive group task. However, the reliance on task interdependence to dichotomize environments into one of two categories (i.e., or individual) overlooks further differences in how members rely on each other (e.g., interdependence and group-level outcomes or resources). The purpose of this article is to promote the investigation of group dynamics and social influence in by proposing a typology that distinguishes types of group environments according to levels of structural interdependence. This typology identifies six distinct types and leads to a number of relevant theoretical and practice-based propositions. This work is a call increased group dynamics research involving environments that acknowledges the multiple forms of interdependence that are present both in the group structure and the perceptions held by athletes.Keywords: group dynamics, interdependence, typology, sport, exercise, psychology, psychologyIndividual performances are rarely efforts. athletes (e.g., running, wrestling, and golf) often spend hundreds or even thousands of hours with teammates in training and competition, and build important interpersonal relationships. For example, after calculating the number of hours spent competing with the amount of time spent training and travelling with teammates, Canadian cross country skier Mariis Kromm claimed, for every minute I'm on the race course I've spent almost 7 hours with my team (Kromm, 2009, para. 1). Group dynamics research has largely overlooked environments in favour of sports (e.g., soccer) under the expectation that group influence will only exist to the extent that members interact during competition (Carron & Chelladurai, 1981). Correspondingly, it is unclear whether environments involve comparable group dynamics processes to those in settings (e.g., Carron, Colman, Wheeler. & Stevens, 2002) or whether group processes are relatively unimportant (e.g., Landers & Lueschen, 1974).This understanding is particularly hampered by the typical dichotomous categorisation of sports as either or in nature. Individual sport is an umbrella term encompassing a number of activities in which athletes are not required to integrate with others on a collective competitive group task. However, sports identified as individual based on task type may also differ according to a number of higher-order characteristics including (but not limited to) the following: (a) the use of scores, (b) training that requires the presence of teammates, and (c) identification of distinct leaders and roles. Thus, although athletes are not interdependent with others on the competitive task, there are a number of additional ways that they may rely on other athletes in a group or setting (Widmeyer & Williams, 1991). As all sources of interdependence are essential in understanding group interactions and collaboration (Saavedra, Earley, & Van Dyne, 1993), they may be valuable distinguishing group types.The purpose of this article is to promote the investigation of group dynamics and social influence in settings by proposing a typology that distinguishes types of group environments according to levels of structural interdependence and encouraging research involving interdependence perceptions and structures that determine how group members are likely to impact one another's experiences. This review makes a distinct call greater consideration of group dynamics issues within and provides a framework to guide such research efforts. …
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it