Excluded from privilege? Black American fraternity men’s negotiations of hegemonic masculinity
Bibliographic record
Abstract
In the United States in 2015, race and masculinity are at crucial sociopolitical crossroads – particularly as individuals and communities attempt to navigate the complicated experiences Black American males must face under the backdrop of police brutality, violence, and racism (Brunson, 2007; Crenshaw, Gotanda, Peller, & Thomas, 1995). In a time where Facebook and twitter hashtags have to remind us that #blacklivesmatter, we must support space for Black men to tell their own stories about how they navigate masculinity within cultural discourses that demonize, problematize, and construct what it means to be a Black man in America. In particular, this manuscript will focus on Black fraternity men’s self-perceived understandings of masculinity as developed within Black fraternity spaces with/in American culture. These self-perceived understandings highlight the complex state of raced masculinities caught within and pushing against hegemonic expectations of gender, religiosity, heteronormativity, and ethics of care within current American contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".