Recovering the neglected importance of Harry Hopkins’ role in the New Deal: insights for management and organization studies
Bibliographic record
Abstract
Purpose The purpose of this paper is to revisit the potential of the New Deal as a research context in management and organization studies and, in doing so, forward the role one of its chief architects, Harry Hopkins, played in managing the economic crisis. The exploration takes us to multiple layers that work together to form context around Hopkins including the Great Depression, the Roosevelt Administration, and ultimately, the New Deal. By raising Harry Hopkins as an exemplar of historical-narrative exclusion, the authors can advance the understanding of his role in the New Deal and how his actions produced early insights about management (e.g. modern crisis management). Design/methodology/approach The paper experiments with the methodological assemblage of ANTi-History and microhistorical analysis that the authors call “ANTi-Microhistory” to examine the life narrative of Harry Hopkins, his early association with President Franklin D. Roosevelt and later, the New Deal. To accomplish this, the authors undertake a programme of archival research (e.g. the digital repository of The Franklin D. Roosevelt Presidential Library and Museum) and assess various materials (e.g. speeches, biographies and memoirs) from across multiple spaces. Findings The findings suggest Harry Hopkins to be a much more powerful actor in mobilizing New Deal policies and their effect on early management thought than what was previously accepted. In the process, the authors found that because of durable associations with Roosevelt, key policy architects of the same ilk as Harry Hopkins (e.g. Frances Perkins, Henry Wallace, Lewis Douglas, and others) and their contributions have been marginalized. This finding illustrates the significant potential of little-known historical figures and how they might shed new insight on the development of the field and management practice. Originality/value The aim is to demonstrate the potential of engaging historical research in management with the individual – Harry Hopkins – as a unit of analysis. By engaging historical research on the individual – be it well-known or obscure figures of the past – the authors are considering how they contribute to the understanding of phenomena (e.g. New Deal, Progressivism or Keynesian economics). The authors build on research that brings to focus forgotten people, communities and ideas in management studies but go further in advocating for space in the research to consider the scholarly potential of the individual.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.047 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".