The Relation between Perceived Treatment Discrimination and Job Satisfaction among African-American Accounting Professionals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examines the relation between perceived treatment discrimination and level of job satisfaction among African-American accounting professionals. Results of a survey of accounting graduates of a Historically and Predominantly Black University (HPBU) suggest a significant relation between these two factors. Unstructured interviews with African-American partners and managers in major accounting firms further support this finding. We conclude that although the profession actively recruits African-Americans, once inside the firm there continues to be diversity issues that need to be addressed. Not unexpectedly, survey results indicate that the majority of respondents who are most dissatisfied do not intend to remain in the profession. Evidence from the study also suggests a positive relation between percentage of African-Americans in the firm and job satisfaction. In addition, written comments from respondents and interviews with African-American practitioners indicate that ethnicity remains an issue in the workplace. Accounting firms are attempting to address this issue through mentoring and diversity training.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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 it