The Plight of the Vulnerable Workforce: Theoretical and Empirical Advancements
Bibliographic record
Abstract
The work experience of the vulnerable workforce is a relevant yet generally understudied phenomena in the management literature. Global development agencies such as the United Nations (UN) and the International Labour Organization (ILO) consistently emphasize the importance of decent work not only as a human rights issue but also as an essential component of a sustainable society. Thus, it is undeniable that academic scholarship involving vulnerable workers is necessary and timely. Advocating theory-driven scholarship, this symposium offers compelling studies that applied a variety of theoretical perspectives to examine the plight of vulnerable workers (e.g., people living with HIV, victims of intimate partner aggression, mental illness, ethnic minorities). We offer four papers anchored on strong theoretical foundations (e.g., self-determination theory, identity formation theory, stereotype-content model, etc.) that enrich our understanding of the vocational experiences of vulnerable workers. These studies also consist of a diverse range of research designs (e.g., experiment, mixed-methods, archival, longitudinal/time-lagged). Moreover, with studies completed from different countries (e.g., USA, Philippines, GLOBE), this symposium offers an opportunity for discussion about cross-national differences and perspectives. This symposium sets the stage for more theory-driven scholarship, thereby contributing to building a stronger body of work on the vulnerable workforce. Observer Responses to Job Candidate Disclosure of Bipolar Disorder Author: Daniel S. Samosh; Queen's U. Author: Janice Lam; Schulich School of Business, York U. Author: Brent John Lyons; Schulich School of Business, York U. The Impact of HIV Stigma at Work: A Self-Determination Perspective Author: Yueyang Chen; U. of Illinois at Urbana-Champaign Author: Anna Carmella Ocampo; ESADE Business School Author: Simon Lloyd D. Restubog; U. of Illinois at Urbana-Champaign Author: Lu Wang; Australian National U. Author: Anthony Decoste; Global Virtuoso, Inc Work Consequences of Intimate Partner Aggression: A Self-Determination Perspective Author: Yaqing He; U. of Illinois at Urbana-Champaign Author: Catherine Deen; U. of New South Wales Author: Constantin Lagios; Catholic U. of Louvain Cross-cultural Analysis of Voice Behaviors Across Three Marginalized Groups Author: Patricia Tabarani; U. of Illinois at Urbana-Champaign Author: J. Ryan Lamare; U. of Illinois at Urbana-Champaign
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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 | 0.020 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".