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Record W2150288404 · doi:10.1017/s1537781414000061

The Disappearance of Emily G. Balch, Social Scientist

2014· article· en· W2150288404 on OpenAlexaff
Andrew M. Johnston

Bibliographic record

VenueThe Journal of the Gilded Age and Progressive Era · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsObjectivity (philosophy)DisciplineImmigrationSociologyLeaguePoliticsSocial sciencePolitical scienceEpistemologyLawPhilosophy

Abstract

fetched live from OpenAlex

Emily Greene Balch is probably best known as the second American women to win the Nobel Peace Prize—a tireless pacifist and feminist who served as the first secretary of the Women's International League for Peace and Freedom in the early 1920s. But she was, before that, an innovative social scientist whose scholarly contributions were only later overshadowed by her activism and by formalist tendencies in sociology, which subsequently ignored her critical work on immigration. Balch started her career espousing the “objectivity” of science, but her experience as a researcher of immigration and as a pacifist in search of an understanding of the social psychology of war moved her closer toward a methodological hermeneutic that made formalist sociological principles anathema. Where she blended theory-development with social practice, her male colleagues attempted to conceal political purpose behind disinterested discipline. After 1918, women sociologists were transferred into other fields, namely, back into social work. In Balch's case, she turned to international organizations and the gritty practice of reconciliation, but her profile as a social scientist disappeared altogether. The fate of her intellectual work provides a glimpse of the affinities between gender and certain forms of disciplinary knowledge in the early social sciences.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.016
GPT teacher head0.219
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2014
Admission routes1
Has abstractyes

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Same venueThe Journal of the Gilded Age and Progressive EraSame topicFrench Historical and Cultural StudiesFrench-language works237,207