Reclaiming<i>SPSSI</i>'s Sociological Past: Marie Jahoda and the Immersion Tradition in Social Psychology
Bibliographic record
Abstract
Aspects of the life and work of Society for the Psychological Study of Social Issues (SPSSI)'s first female president, Marie Jahoda (1907–2001), are examined to help reclaim social psychology's, and SPSSI's,lost connection to sociology. Throughout her career, Jahoda promoted a nonreductionistic, problem‐focused sociological social psychology that was profoundly influenced by her early interdisciplinary training and by subsequent collaborations with other SPSSI members in New York City in the decade following WWII. Her use of the participant observation method, or immersion approach, was an outgrowth of her sociological sensibility. She used this approach to describe and explain the complex interactions between individuals and social structures in real‐life settings. By placing Jahoda at the center of our analysis, we aim to complicate standard historical narratives about the loss of the sociological tradition within social psychology and re‐assess the relationship between the two social psychologies. We argue that her legacy should be brought to bear on contemporary debates about SPSSI's social relevance and may help re‐envision the disciplinary boundaries of contemporary social psychology.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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".