MétaCan
Menu
Back to cohort
Record W2072776850 · doi:10.1037/a0030202

Seeing the “we” in “me” sports: The need to consider individual sport team environments.

2012· article· en· W2072776850 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2012
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsNipissing UniversityWilfrid Laurier University
Fundersnot available
KeywordsPsychologySport psychologyTeam sportApplied psychologySport managementSocial psychologyAthletesPublic relationsPhysical therapy

Abstract

fetched live from OpenAlex

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. …

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.041
GPT teacher head0.313
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it