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Record W4235444963 · doi:10.24908/iqurcp.9264

Expressive Writing as an Intervention for Anxiety’s Negative Effects on Women Negotiators

2018· article· en· W4235444963 on OpenAlexvenueno aff
Naomi Rosenfeld

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationPsychologyAnxietyTask (project management)Stereotype threatSocial psychologyTest anxietyTest (biology)Intervention (counseling)Stereotype (UML)Outcome (game theory)Control (management)Developmental psychology

Abstract

fetched live from OpenAlex

The purpose of this research is to study the effects of anxiety resulting from negative stereotypes on women’s negotiation performance (Kray, Galinsky, & Thompson, 2001); furthermore, I test whether or not expressive writing may act as an intervention and moderate the relationship. I hypothesize that dispositionally anxious negotiators will perform worse in a stereotype-threatened environment relative to those with low anxiety. Secondly, I hypothesize that among high-anxious negotiators, those who complete an expressive writing task will report lower levels of anxiety and will be less anxious compared to their dispositionally anxious peers in the control condition. This decrease in anxiety is expected to lead to better negotiation outcomes. To test these hypotheses, I am engaging 100 mixed-sex dyads in a negotiation task and assessing a number of objective and subjective negotiation outcomes. Before the task, I am subtly reminding all participants in the dyads, whose female participants I have pre-screened for either high or low habitual negotiation anxiety, about the negative stereotypes that exist for women in negotiation. At random, half of the dyads will complete an expressive writing task just before negotiating while the other half will complete a control task. I will assess differences of anxiety and negotiation outcome measures between the groups. Implications for theory, research, and practice will be 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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.000
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 head0.079
GPT teacher head0.391
Teacher spread0.312 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations0
Published2018
Admission routes1
Has abstractyes

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