The influence of systemic racism on quarter-life crisis in The Autobiography of Malcolm X (as told to Alex Haley)
Bibliographic record
Abstract
This paper aims to analyze the influence of systemic racism on quarter-life crisis, experienced by Malcolm X, as seen in The Autobiography of Malcolm X (As Told to Alex Haley). Its emphasis is to find the relation between racial segregation in American society and its influence on quarter-life crisis, which is a psychological crisis of uncertainty, self-insecurity and identity confusion, occurs during emerging adulthood. Therefore, by applying a qualitative method, this research is under Post-Nationalist American Studies and psychosocial approach as an integrated paradigm which accommodates the inter-disciplinary aspects of �self and society�. The analysis showed that racial segregation, in the field of education and job occupation, is a form of systemic racism which influences Malcolm X�s mental wellness as an emerging adult African-American. He experiences Robinson�s phases of quarter-life crisis which are locked in, separation/time-out, exploration and rebuilding. In fact, racial segregation in this narrative works as �a function of blocked opportunities� which disallows young African-Americans to develop their own competencies and to achieve their �American Dream�. However, in the development of his quarter-life crisis, Malcolm X managed to rebuild his new long-term commitment contributing to the reconstruction of his adult identity as an African-American Muslim activist.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".