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Record W7005463723

"A Raisin in a Box": The Experiences of Racialized Black Males in Leadership Roles in the Non-Profit Sector in Toronto, Canada

2023· article· en· W7005463723 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - Andrews University (Andrews University) · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Power (physics)Interpretative phenomenological analysisRace (biology)White (mutation)Black malePresentation (obstetrics)SalientPower structure
DOInot available

Abstract

fetched live from OpenAlex

Problem The marginalization of Black and other racialized bodies (people of colour) has led to the position of a leader becoming so synonymous with Whiteness that it is normalized and naturalized; and worse, there has been limited analysis about why this is so. There is even less analysis of the experiences of the few people of colour who occupy leadership roles in organizations (Berkshire, 2008; Bradshaw et al., 2009; Mills et al., 2010; Nkomo, 2011; Ospina & Foldy, 2009). Astonishingly, organizations in diverse communities also have exiguous conversations about such salient issues like race and gender even though there is considerable evidence that it is White bodies that dominate organizational power structures (Block & Galabuzi, 2011; Johnson, 2012; Knight et al., 2003; Mills et al., 2010). As Hepburn (2015) states, "let's be blunt: Greater Toronto [Ontario, Canada] is one of most diverse-rich areas in the world, yet it sure isn't reflected in its leadership." -- Methodology This chapter provides a robust presentation of the research methodology employed in this study. It encompasses a subject recruitment and selection process and an effective analysis and presentation of the data. To investigate the experiences of Black male leaders in Toronto's non-profit sector, I have utilized the Interpretative Phenomenological Analysis (IPA) method, guided by Hycner's (1985) approach, and semi-structured interviews. Together, these approaches capture rich and relevant data. As Kvale (1996) argues, interviews are merely structured conversations with a purpose. IPA provides the best opportunity to analyze the lived experience of Black male leaders and gain insightful knowledge. Results The research findings suggest that the men interviewed have experienced various challenges in leadership positions within Toronto's non-profit sector. These challenges include navigating anti-Black Racism, code-switching, performativity, and mental health issues. To cope with these challenges, they have implemented various strategies. Conclusions The findings suggest that the construction of race and racialization within systems is experienced by Black men in leadership positions in unique and often challenging ways. The men in this research all experienced significant overt racism. These experiences of racism were primarily due to their social location as racialized Black men. As racialized Black men, their bodies are positioned in opposition to the prevailing leadership ideologies. They spend significant time working to ensure that their colleagues see them as leaders. The extent to which these experiences' internalization shapes Black male leaders' well-being is profound and, in some cases, problematic. These men have had to develop ways to deal with the mental trauma of being treated as inferior. The coping mechanisms and strategies range from self-medication to simply resigning from their positions. The findings highlight ways the non-profit sector can support these men and the next generation of Black male leaders. The findings also reveal ways Black men can support themselves and each other as they navigate the sector.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.199
Teacher spread0.169 · 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.

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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