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Record W2139538992 · doi:10.1037/a0023247

Genius without the “Great Man”:New possibilities for the historian of psychology.

2011· article· en· W2139538992 on OpenAlexaff
Laura C. Ball

Bibliographic record

VenueHistory of Psychology · 2011
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsYork University
Fundersnot available
KeywordsGeniusHistory of psychologyGreatnessContext (archaeology)Value (mathematics)Style (visual arts)EpistemologyAestheticsSubject (documents)LiteratureSociologyPsychologyPsychoanalysisHistoryArt historyPhilosophyArt

Abstract

fetched live from OpenAlex

The Carlylian style of history, more commonly known as the "Great Man" approach, presented the "genius" as an individual worthy of celebration: history as hero worship. This style, which characterized the first wave of the history of psychology, has gone out of historiographic fashion. In its place is the "new history," which is marked by its external focus and privileging of social factors and cultural context in its explanations. This shift in historiographic sensibilities has also led to a revision in the appropriate subject matter for psychologist-historians. This article argues, in contrast, that it is possible to study eminent individuals without resorting to hagiography, and it presents various methods that could be used for this purpose. The aim of such an endeavor is to create a space for critically and historically informed perspectives on greatness and to suggest a reconsideration of the value of an "historical psychology".

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.044
Scholarly communication0.0090.016
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.145
GPT teacher head0.380
Teacher spread0.236 · 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 designTheoretical or conceptual
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

Citations28
Published2011
Admission routes1
Has abstractyes

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