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Record W4302992193 · doi:10.1017/cbo9781139017541

A History of Psychology in Western Civilization

2014· book· en· W4302992193 on OpenAlexaff
Bruce Alexander, Curtis P. Shelton

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsBritish Columbia Institute of TechnologySimon Fraser University
Fundersnot available
KeywordsHistory of psychologyCivilizationWatsonGalton's problemTheoretical psychologyField (mathematics)Order (exchange)EpistemologyFace (sociological concept)Comparative psychologySociologyPsychologySocial sciencePsychoanalysisHistoryPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This book is a re-introduction to psychology. It focuses on great scholarly thinkers, beginning with Plato, Marcus Aurelius and St Augustine, who gave the field its foundational ideas long before better known 'founders', such as Galton, Fechner, Wundt and Watson, appeared on the scene. Psychology can only achieve its full breadth and potential when we fully appreciate its scholarly legacy. Bruce Alexander and Curtis Shelton also argue that the fundamental contradictions built into psychology's history have never been resolved, and that a truly pragmatic approach, as defined by William James, can produce a 'layered' psychology that will enable psychologists to face the fearsome challenges of the twenty-first century. A History of Psychology in Western Civilization claims that contemporary psychology has overemphasized the methods of physical science and that psychology will need a broader scientific orientation alongside a scholarly focus in order to fully engage the future.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.011
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.004

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 head0.035
GPT teacher head0.279
Teacher spread0.243 · 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

Citations34
Published2014
Admission routes1
Has abstractyes

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