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Record W6962937210 · doi:10.17605/osf.io/tmhn3

Understanding Student Perceptions of the Characteristics of Men, Women and Managers

2018· other· en· W6962937210 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOpen Science Framework · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionStereotype (UML)Stereotype threatEducational attainmentWork (physics)Work experience

Abstract

fetched live from OpenAlex

The purpose of the study is to replicate and extend prior work by Virginia Schein with respect to gender stereotypes of managers. Since the 1970’s numerous studies have confirmed that students and workers hold the stereotype that successful managers have more male characteristics versus female characteristics. Recent research has suggested that these stereotypes are weakening for women but not for men. Despite the large number of studies, only one has been conducted in Canada and this was over 20 years ago (Orser, 1994). Therefore the main purpose is to assess student stereotypes of managers as they relate to gender. We will also explore moderators of these stereotypes such as: participant gender, major, income and work status/history of parents and educational attainment of parents. A second purpose of the study is to assess the impact of insufficient effort responding on the pattern of results discussed above. Researchers have become increasingly worried about this issue with on-line surveys as these are typically completed in an environment chosen by participants (i.e. at home, work, library, etc.). As a result participants may be unmotivated to respond to each question carefully, may respond to each question while engaged in other activities (e.g. multi-tasking), or may simply respond in a manner that presents them in a positive way. Therefore, the research questions are: do Canadian students hold similar gender stereotypes for managers as in other countries? To what extent does work, participant gender, income and work status/history of parents, major (primarily Psychology and Business), and educational attainment of parents moderate these stereotypes? Finally, we are also interested in the rate of insufficient effort responding and how it affects the psychometric characteristics of the stereotype measure and the relationships in the prior research questions.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0040.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.062
GPT teacher head0.356
Teacher spread0.294 · 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

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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