Bringing to Light What’s Been Cast to the Shadows: Marginalized Relationships and Narratives at Work
Bibliographic record
Abstract
The management literature is rich with theoretical and empirical insights into the processes and outcomes associated with interpersonal relationships at work. Whereas some workplace relationships and relational experiences have received a great deal of scholarly attention, others have been cast to the shadows. In this presenter symposium, we offer five papers uncovering the processes and consequences associated with taboo, counter-normative, and marginalized relational experiences in the workplace. Specifically, our symposium shines a spotlight on oft-overlooked relationships and relational experiences, including unrequited love in the workplace, workplace romances, relational experiences of Black women executives, and luck’s existence in employees’ relationships and careers. The theoretical and empirical papers included in this symposium offer novel contributions to the workplace relationships literature and its intersections with identity, careers, and gender and diversity, generating fruitful avenues for future research. A model of unrequited love in the workplace Presenter: Nikhil Awasty; Michigan State U. Presenter: Rebecca Mitchell; U. of Colorado Boulder Presenter: Lance Ferris; Michigan State U. Who I am through you: A self categorization model of dynamic romantic commitment at work Presenter: Keith Norman Leavitt; Oregon State U. Presenter: Trevor Watkins; U. of Oklahoma Risky or risqué?: The role of stigmatized identity in workplace romance formation Presenter: Emily Dunham Heaphy; U. of Massachusetts, Amherst Presenter: Emily Poulton; U. of Georgia Peer and CEO perceptions about their expectations for and challenges of senior black women Presenter: Marla Baskerville Watkins; Northeastern U. Presenter: Jamie Jocelyn Ladge; Northeastern U. Presenter: Alexis Nicole Smith; Oklahoma State U. Presenter: Pamela Carlton; Springboard – Partners in Cross Cultural Leadership Toward a theory of luck and inequality in careers Presenter: Erin Marie Reid; McMaster U. Presenter: Lakshmi Ramarajan; Harvard U.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.055 |
| Scholarly communication | 0.017 | 0.020 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".