From Orgasms to Organizations: Maslow, Women’s Sexuality and the Gendered Foundations of the Needs Hierarchy
Bibliographic record
Abstract
One of the most enduring theories in management is Abraham Maslow’s hierarchy of needs, in that its basic concepts, such as the needs for self–esteem and self–actualization, are accepted without question. This adoption of Maslow’s theory has generally occurred without an examination of its empirical basis, which was his own 1930s’ study of the relationship between self–esteem and sexual behaviour in young college women. In this article, we locate Maslow’s study of women’s sexuality in the sexological research of his time, and contrast it with a study undertaken by Katharine Davis in 1929. These two studies present very divergent pictures of women’s sexuality. We argue that Maslow’s portrayal, which is subsequently embedded in the needs hierarchy, has implications for our understanding of dominance and subordination in organizations, because implicit in Maslow’s portrayal is an assertion of the naturalness of female submission and the eroticization of male dominance.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".