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Record W1971134819 · doi:10.1177/0149206314539348

Sisters at Arms

2014· article· en· W1971134819 on OpenAlexaff
Leah D. Sheppard, Karl Aquino

Bibliographic record

VenueJournal of Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAttributionDistancingSocial psychologyNarrativePsychologyPerceptionInterpersonal communicationSet (abstract data type)Dysfunctional familyAsideInterpersonal relationshipGender studiesSociologyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

The narrative surrounding the nature of relationships and interactions between and among women at work is decidedly negative, which is evident in the coverage that female competition and the queen bee syndrome receive in the media, nonfiction books, and the management and psychology literatures. In the current article, we propose a two-stage theory that is grounded in gender stereotyping to account for this narrative. In the first stage, we draw from theories of social comparison and in-group distancing to offer plausible reasons for why women’s same-sex relationships at work might be more fraught with interpersonal conflict than men’s. In the second stage, we set aside consideration of possible gender differences in same-sex conflict frequency and draw from attribution theory to propose that female same-sex conflict is more problematized by third parties than male same-sex conflict, which could produce the exaggerated perception that women have more dysfunctional same-sex workplace relationships than men. Implications for future research and gender equality in organizations are discussed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.339
Threshold uncertainty score0.943

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.3390.099

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 head0.084
GPT teacher head0.289
Teacher spread0.205 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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

Citations75
Published2014
Admission routes1
Has abstractyes

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