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Record W2318980181 · doi:10.1037/a0038448

Hearing the inaudible experimental subject: Echoes of Inaudi, Binet’s calculating prodigy.

2015· article· en· W2318980181 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistory of Psychology · 2015
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsYork University
FundersAgence Nationale de la Recherche
KeywordsSubject (documents)BiographyHistoriographyHistory of psychologyIntellectual historySocial history (medicine)SociologyPsychoanalysisCultural historySubalternHistoryPsychologyAestheticsArt historyPoliticsAnthropologyLawPhilosophyMedicine

Abstract

fetched live from OpenAlex

Historians of psychology have traditionally focused on ideas (intellectual history), the "great men" who produced them (an older style of biography sometimes called "hagiography"), or-more recently-the influence of the contexts that shaped them (social and cultural history). A still more recent approach is to bring in those invisible subjects whose experiences have previously been ignored, most often through histories focusing on the discipline's forgotten women or minority contributors: "history from below" (subaltern history). A variation on this was popularized in the history of psychiatry (viz., "patient voices") and has since been carried into the history of psychology (e.g., "feminist voices"). The latest innovation is to focus on what Jill Morawski has referred to as "the discipline's experimental subjects." (These are the collective done-to, rather than the doers, of psychological research.) This history is one of those: an attempt to look behind Alfred Binet to find an influence that shaped his work. The purpose is thus to "give voice" to this unheard-from subject-the until-now inaudible Jacques Inaudi (including excerpts from newspaper interviews and translations from his recently discovered autobiography)-and at the same time advance Morawski's historiographical project. We then get a glimpse of what it was like to be a child prodigy in France in the 1880s, as well as what securing scientific patrons could do for one's prospects. By focusing specifically on Binet's unheard-from experimental subject, we are also afforded new perspectives of the history of late-19th century French psychology (reflecting another emerging interest, "international history"), and we gain new insights into the prehistory of contemporary Binet-style intelligence testing.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.163
GPT teacher head0.399
Teacher spread0.235 · 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