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Record W3209875393 · doi:10.32920/ryerson.14666280.v1

Clothing, image, and presence: women in the corporate workplace

2021· preprint· en· W3209875393 on OpenAlexaff
Colombe Nadeau-O’Shea

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsClothingPsychologySocial psychologyCognitionSociologyPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Taken from Introduction: The purpose of this paper is to examine in detail the existing literature addressing the history of Western women in the workplace, the importance of first impressions, gender discrimination and stereotypes in the workplace, and the cognitive and behavioural effects of clothing on both wearers and perceivers. These topics will be analyzed across various fields of study, such as economics, psychology, sociology and gender studies. This review focuses on women as they relate to appearance and professional settings because many of the issues faced by women in professional settings are unique. It would not, therefore, be appropriate to address these issues as they relate to both men and women within the same framework; women’s experiences in regards to these notions deserve special attention. Once these theories are explored and analyzed, they will be expanded upon using ideas of executive presence and how it affects these particular areas of study, as well as how it can be used by women to overcome many of these issues.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.058
GPT teacher head0.252
Teacher spread0.195 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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