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Wundt, Wilhelm Maximilian (1832–1920)

2018· book-chapter· en· W4231139676 on OpenAlexaff
Jill A. Dosso, Jean-Paul Boudreau

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIntrospectionGermanPsychologyExperimental psychologyPerceptionField (mathematics)PsychoanalysisSociologyEpistemologyHistoryPhilosophyCognitive psychologyCognition

Abstract

fetched live from OpenAlex

Wilhelm Maximilian Wundt, born in Neckarau (now Mannheim, Baden-Württemberg), was a German scientist who pioneered the field of experimental psychology. His best-known work, Grundzüge der physiologischenPsychologie [Principles of Physiological Psychology], published in two volumes (volume one in 1873 and volume two in 1874), is the first work to introduce the study of mental processes—psychology—as a new and distinct science. Moreover, Wundt was the first to build a laboratory for psychological research, launched at the University of Leipzig in 1879. Emphasizing the study of conscious experiences through a system of rigorous introspection—what he called "internal perception" [innereWahrnehmung]—Wundt broke with early 19th-century means of understanding mental processes through his focus on experimental study and the individual, parallel to modernist considerations of individual subjectivities and radical experimentation. A prolific writer, with an estimated 53,000 pages of published work, Wundt moved psychology from its traditional alignment with philosophy into a separate and empirical field of study with its own distinctly modern methods of investigating mental processes.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.015

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 head0.042
GPT teacher head0.332
Teacher spread0.290 · 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
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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