“Very much in love”: The letters of Magda Arnold and Father John Gasson
Bibliographic record
Abstract
Magda Arnold (1903-2002), best known for her pioneering appraisal theory of emotion, belonged to the second generation of women in psychology who frequently experienced institutional sexism and career barriers. Following her religious conversion, Arnold had to contend with the additional challenge of being an openly Catholic woman in psychology at a time when Catholic academics were stigmatized. This paper announces the discovery of and relies upon a number of previously unknown primary sources on Magda Arnold, including approximately 150 letters exchanged by Arnold and Father John Gasson. This correspondence illuminates both the development of Arnold's thought and her navigation of the career challenges posed by her conversion. I argue that Gasson's emotional and intellectual support be considered as resources that helped Arnold succeed despite the discrimination she experienced. Given the romantic content of the correspondence, I also consider Arnold and Gasson in the context of other academic couples in psychology in this period and argue that religious belief ought to be further explored as a potential contributor to the resilience of women in psychology's history.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".