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Understanding and using the history of social psychology

2000· article· en· W2104925353 on OpenAlexaff
Ian Lubek

Bibliographic record

VenueJournal of the History of the Behavioral Sciences · 2000
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsField (mathematics)SociologyMainstreamEpistemologyPoliticsLegitimacyCounterpointSocial sciencePsychologyPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Authors in this collection offer both critique and contextualist counterpoint to the standard, "official" histories of the field-successive editions of the Handbook of Social Psychology in 1954, 1968, 1985, and 1998. Unlike mainstream histories, the collected studies do not together constitute a seamless chronicle of continual progress for practitioners in a research area seeking social science status, viability, and legitimacy. Rather the authors focus on choice points, crises, and debates (some still ongoing), pay special heed to non-mainstream branches and voices, question numerous assumptions concerning the interrelationships among social psychological methodology, ontology (Danziger; MacMartin & Winston; Stam, Radtke, & Lubek), boundaries (Good), and individualisms (moral, political, and/or methodological). The specific contributions of Floyd and Gordon Allport are discussed from several perspectives as they helped define and shape and write the history of the field (Lubek & Apfelbaum; Parkovnick; Greenwood; Chung), and bridge it to neighboring areas (personality) and disciplines (psychology and sociology) (Nicholson; Barenbaum; Cherry). The constraints, origin myths, insensitivities, and omissions of standard histories are pointed out (Samelson), some partial correctives are advanced, and a more generative role for future historical studies is suggested.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.994
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.005
Science and technology studies0.0060.067
Scholarly communication0.0140.015
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.358
GPT teacher head0.429
Teacher spread0.071 · 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.

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

Citations17
Published2000
Admission routes1
Has abstractyes

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Same venueJournal of the History of the Behavioral SciencesSame topicAcademic and Historical Perspectives in PsychologyFrench-language works237,207