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Record W2268409210 · doi:10.1111/ncmr.12065

What's a Masculine Negotiator? What's a Feminine Negotiator? It Depends on the Cultural and Situational Contexts

2016· article· en· W2268409210 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

VenueNegotiation and Conflict Management Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsWestern University
Fundersnot available
KeywordsNegotiationSituational ethicsCategorizationPsychologySocial psychologyContext (archaeology)SociologyComputer science

Abstract

fetched live from OpenAlex

Abstract Gender‐related categorization is a key feature of the literature on gender in negotiation. While previous literature focused on context‐free traits such as warmth and competence, we examine how people categorize specific negotiation goals and behaviors as masculine and feminine across the U nited S tates and C hina in different negotiation contexts , illustrating the role of cultural and situational contexts in gender‐related categorization. Two studies found that while A merican participants categorized competitive goals and behaviors as masculine and cooperative ones as feminine across business‐to‐consumer ( B 2 C ) and business‐to‐business ( B 2 B ) negotiation contexts, C hinese participants' patterns depended on the negotiation context. In B 2 C contexts, C hinese participants categorized competitive goals and behaviors as feminine and cooperative ones as masculine; in B 2 B contexts, they made further distinctions, categorizing competitive goals and behaviors that are socially inappropriate as feminine, but competitive ones that are socially appropriate, and cooperative goals and behaviors, as masculine. Theoretical and practical implications 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.

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 categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
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 score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.292
GPT teacher head0.417
Teacher spread0.125 · 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