Frances Perkins: gender, context and history in the neglect of a management theorist
Bibliographic record
Abstract
Purpose This paper aims to achieve four things: to build on recent discussion on the neglect of Frances Perkins’ contribution to the understandings of management and organization (MOS); to surface selected insights by Perkins to reveal her potential as an important MOS scholar and practitioner; to explain some of the reasons for the neglect of Perkins, particularly by MOS scholars; and to interrogate the role of management history in the neglect of Perkins and her management and organizational insights. Design/methodology/approach This paper adopts a feminist post-structural lens through which the authors focus on major discourses (dominant interrelated practices and ideas) that influence how people come to define themselves, others and the character of a particular phenomenon (e.g. management history). To that end, the authors have undertaken Foucauldian discourse analysis, where they examine various sources that collectively work to present a dominant idea of a given set of practices (in this case, management and organization studies and associated histories of the field). In Foucauldian terms, these interrelated practices constitute an archive that consists of various selected materials (e.g. the Roosevelt Library and the Columbia University Oral History Collection) and, in this case, works on and by Francis Perkins. Thus, the authors analyzed various materials for their discursive value (viz. the extent to which they produced and reinforced a particular notion that excluded, neglected or ignored women from any privileged role in MOS and management history). Findings The findings are discursive, which means that the purpose is to disrupt current knowledge of MOS and management history by revealing how its practices as a field of study serve to leave certain people (i.e. Frances Perkins), influences (i.e. the impact of the “settlement ethos” on the New Deal), and social phenomena (i.e. the New Deal) out of account. Originality/value The objective is to ask for a rethink of the field definition of MOS and management history, to include broader levels of social endeavour (e.g. labour, social welfare and politics) and a range of hitherto neglected theorists, in particular Frances Perkins. Achievements in labour, industry and management of organizations, credited to the New Deal, are overlooked in MOS and management and organizational history. As Secretary of Labour, Perkins researched, lobbied and ushered in critical New Deal measures which transformed working environments for men, women and children with social welfare and labour policies that contributed to the understanding of managing and organizing in the modern world.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.046 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| 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".