Senator Fred Harris's National Social Science Foundation Proposal: Reconsidering Federal Science Policy, Natural Science–Social Science Relations, and American Liberalism during the 1960s
Bibliographic record
Abstract
During the 1960s, a growing contingent of left-leaning voices claimed that the social sciences suffered mistreatment and undue constraints within the natural science-dominated federal science establishment. According to these critics, the entrenched scientific pecking order in Washington had an unreasonable commitment to the unity of the sciences, which reinforced unacceptable inequalities between the social and the natural sciences. The most important political figure who advanced this critique, together with a substantial legislative proposal for reform, was the Oklahoma Democratic Senator Fred Harris. Yet histories of science and social science have told us surprisingly little about Harris. Moreover, existing accounts of his effort to create a National Social Science Foundation have misunderstood crucial features of this story. This essay argues that Harris's NSSF proposal developed into a robust, historically unique, and increasingly critical liberal challenge to the post-World War II federal science establishment's treatment of the social sciences as "second-class citizens."
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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 | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.020 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.016 | 0.013 |
| 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".