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Record W2134347757 · doi:10.1037/1089-2699.9.1.45

Men, Women, and Leadership Centralization in Groups Over Time.

2005· article· en· W2134347757 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.

Bibliographic record

VenueGroup Dynamics Theory Research and Practice · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical sciencePsychologyDemographic economicsEconomics

Abstract

fetched live from OpenAlex

The authors propose a model for predicting the emergence of group norms from the demographic composition of groups. They use this model to study gender and leadership centralization in groups over time. Results from 2 longitudinal studies were consistent with their predictions: (a) Women, more than men, preferred equality norms in groups; (b) all-male and majority-male groups had relatively centralized leadership structures; (c) all-female groups had relatively decentralized leadership structures; and (d) balanced and majority-female groups were relatively centralized at the onset of group interaction but decreased in centralization over time. Much research and theory has addressed how being male or female influences an individual’s chance of emerging as a leader in a small group or team (cf. Carli & Eagly, 1999; Eagly & Karau, 1991). Little is known, however, about how the sex composition of a group influences its emergent leadership structure: that is, whether a group develops a more centralized structure, whereby leadership is concentrated in one or a few group members, or a more decentralized structure, whereby leadership is shared among members (e.g., Pearce & Sims, 2002). This is an important issue to understand, as centralized structures have been linked to lower levels of group cohesion (Widmeyer, Brawley, & Carron, 1990), satisfaction (Porter & Lawler, 1964), and performance (e.g., Bloom, 1999; Janis, 1989) and to higher levels of tardiness, absenteeism, and turnover (Durand, 1985; Spink & Carron, 1992). Moreover, conventional wisdom and some theories suggest that a group’s leadership structure is shaped by its sex composition. This article represents one of the first contributions to this endeavor. We propose a dominant norms model of how a group’s sex composition determines its leadership centralization, both early in its development and over time. This model is based on the idea that individuals with different social characteristics and backgrounds prefer different interaction norms in groups. It considers these preferences, along with differences in status between the social groups in question, to predict which norms will initially and eventually dominate group interaction. We test the model with two longitudinal studies of groups with different sex compositions.

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)0.015
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.221
GPT teacher head0.391
Teacher spread0.169 · 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