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Record W6891726272 · doi:10.48336/fwgy-6641

Leaders' concealable stigmatized identities: employee attitueds following workplace disclosure

2023· article· en· W6891726272 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsVignetteModerated mediationAttributionPerceptionTest (biology)Sample (material)Empirical researchMediation

Abstract

fetched live from OpenAlex

The intersection of organizational leadership and concealable stigmatized identities has not received adequate scholarly attention. In practice, leaders seem to disclose minority identities at a rate that exceeds research and theory. Idealist and conceptual perspectives have suggested such disclosures will be met with positive outcomes, but emerging empirical investigations of the phenomena suggest this is not always the case. Three studies were conducted to investigate the consequences of disclosing a leader’s concealable stigmatized identity from the employee’s perspective. Study 1 is a mixed methods, time-lagged survey of full-time employees (N = 326). Thematic analysis of 53 participants’ interpretations of the downward disclosure experience reveals important contextual similarities and differences with same status disclosures. Employees interpreted the discloser’s motivation as largely approach-focused (relationship development, establishing trust, self-verification, reactance), with some evidence of negative attributions of the discloser’s motivation (gossip, disgust). Testing a parallel mediation model illustrates that mental illness disclosures negatively predict employee perceptions of leader intelligence and positively predict employee perceptions of leader vulnerability. Study 2 presents the results of two experimental vignette studies (N = 478) of employed adults which investigate the role of disclosure content, leader gender, and discloser identity on perceived leadership effectiveness. Leaders who disclose a minority sexual orientation are rated significantly higher on perceived leadership effectiveness than those who disclose substance abuse disorder. Study 3 utilizes multimedia to create another experimental vignette to test a conditional process model on a sample of employed adults (N = 487). The conditional effects of disclosure appropriateness on follower ratings of leadership effectiveness and leader liking through followers’ perceptions of affective trust in leader and perceptions of leader vulnerability were examined using moderated-mediation and Hayes’ (2018) PROCESS macro. Leaders’ concealable stigmatized identity disclosures did not make a difference to how much employees liked their manager/supervisor, but leader disclosures of substance abuse disclosure directly were detrimental for employee ratings of leadership effectiveness - especially when the disclosure was perceived as inappropriate. When perceived as appropriate, leader disclosures of mental disorder/disease and minority sexual orientation produced positive effects on leader evaluations through affective trust in their leader. A model of stigma content hierarchy is proposed to predict outcomes of leader disclosures from the employee perspective in organizational settings. 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
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 head0.039
GPT teacher head0.272
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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