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Record W2944867435 · doi:10.1111/apps.12207

The Effect of a Context‐Specific Primed Goal on Goal Commitment and Team Performance

2019· article· en· W2944867435 on OpenAlexaff
Gary P. Latham, Jing Hu, Jelena Brcic

Bibliographic record

VenueApplied Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsBaycrest HospitalUniversity of the Fraser ValleyUniversity of Toronto
Fundersnot available
KeywordsPsychologySocial psychologyContext (archaeology)Set (abstract data type)Goal settingTeam effectivenessTeam compositionControl (management)DilemmaGoal orientationIncentiveApplied psychologyKnowledge managementComputer scienceMicroeconomicsEconomics

Abstract

fetched live from OpenAlex

The effect of a context‐specific prime for cooperation on goal commitment and team performance were examined. In the first experiment, the participants ( n = 139) performed the Lost on the Moon simulation (Hall & Watson, 1970) individually and as a team ( n = 50). The teams were randomly assigned to a condition where they were assigned the same goal. They were then primed ( n = 23) through a photograph of cooperation or to the control condition ( n = 27). Consistent with NASA’s directions for performing the simulation, performance was measured by how well a team performed relative to the answers of experts, namely, staff at NASA. The results showed that a primed behavioural goal to cooperate has a positive effect on team performance. These results were replicated in a second and third experiment involving a social dilemma where both a pro‐social, group‐centric goal and a pro‐self, egocentric goal could be self‐set for the amount of points to make. Thus the positive effect of a goal primed for cooperation on a team’s performance was shown to be robust even when there was an explicit mixture of cooperative and competitive incentives. This finding was replicated in a third experiment with actual money. Consistent with goal setting theory, commitment to the team’s goal moderated the primed goal‐performance relationship.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.459
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.014
GPT teacher head0.308
Teacher spread0.295 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2019
Admission routes1
Has abstractyes

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