Emerging Insights on Social Class at Micro and Macro Levels
Bibliographic record
Abstract
This symposium highlights emerging insights related to social class, an important and overlooked aspect of diversity in organizations. The five papers presented in this symposium will cover various topics within the micro and macro domains of management. At the micro level, the papers reveal the complex interplay of social class background with other marginalized identities, such as gender and immigrant status, in shaping workplace experiences. Their nuanced analysis underscores the need to consider social class as a part of multiple identities shaping the lives of students and employees. Additionally, this symposium also integrates social class and conflict literature, proposing that class-based self-conceptions underlie the responses to workplace conflict. At the macro level, the papers delve into how CEO’s social class background shapes stakeholder perceptions and career outcomes. They enrich our understanding of how class-based stereotypes and shifting competence standards follow executives to the apex of corporate hierarchy, carrying career implications even after they have demonstrated merit through significant upward mobility. Together, these papers significantly advance our understanding of how social class, though often invisible, has a profound impact on attitudes and outcomes in the workplace. Roots and Rungs: Exploring Immigrant Realities of Class and Culture Intersectionality Author: Sharvika Kherde; - Author: Andrea Dittmann; U. of Southern California - Marshall School of Business Exploring the Impact of Gender and Social Class Background on Status Inconsistency & Employee Voice Author: Sridhar Polineni; Ross School of Business, U. of Michigan Social Class and the Experience of Conflict at Work Author: Caren Colaco; - Author: Kristin Laurin; U. of British Columbia Author: Stephane Côté; U. of Toronto Not So Undercover Bosses: CEO Social Class Background and Employee Approval Author: Steven Kardel; Pennsylvania State U. Author: Muhan Zhang; The Chinese U. of Hong Kong, HK The Role of Social Class Background on the Relationship between Performance & CEO Career Outcomes Author: Michelle K. Lee; Smith School of Business, Queen's U. Author: Shelby Gai; Michigan State U.
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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 | 0.000 | 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 | 0.001 | 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".