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Record W2736347663 · doi:10.1057/978-1-137-56476-4_5

The Dynamic Recursive Process of Community Influences, LGBT-Support Policies and Practices, and Perceived Discrimination at Work

2017· book-chapter· en· W2736347663 on OpenAlexaff
Raymond Trau, You‐Ta Chuang, Shaun Pichler, Angeline Lim, Ying Wang, Beni Halvorsen

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsYork University
Fundersnot available
KeywordsLesbianTransgenderAffect (linguistics)Sexual orientationSocial psychologyNormativePerceptionPsychologyPublic relationsContext (archaeology)SociologyPolitical scienceGender studies

Abstract

fetched live from OpenAlex

Scholars in organizational psychology have found that organizational factors (such as policies, practices, norms, and climate) influence the psychological process of lesbian, gay, bisexual, and transgender (LGBT) employees, yet it is unclear how community characteristics beyond the organizational context affect the psychological experiences of LGBT employees. In this chapter, we explore the extent to which a local community’s legal, social-normative, and cultural-cognitive features exert great influence on an organization’s stance on its LGBT policies, which in turn affect its employees’ perception of discrimination based on sexual orientation. The regulative, social-normative, and cultural-cognitive processes in a community are also influenced by individuals, groups, and organizations, particularly in relation to stigma and stigmatization toward LGBT individuals residing in the community, and in relation to the degree to which LGBT-related policies and practices are adopted within and across organizations in a community. We also offer directions for future research.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.086
GPT teacher head0.341
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2017
Admission routes1
Has abstractyes

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