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World War <scp>II</scp> and Clinical Psychology

2015· other· en· W1587524962 on OpenAlexaff
Jennifer L. Bazar

Bibliographic record

VenueThe Encyclopedia of Clinical Psychology · 2015
Typeother
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsYork University
Fundersnot available
KeywordsAccreditationWorld War IIPsychologyVariety (cybernetics)Applied psychologyMedical educationPeriod (music)First world warPolitical scienceManagementPublic relationsEngineering ethicsEngineeringMedicineLawHistoryComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Psychologists brought their expertise to a wide variety of sectors during World War II . Building on their experiences of World War I, psychologists assisted the military in various forms of personnel selection, specialized training, instrument, weapon, and machinery design, and morale research. Most significant of this period was the impact on the growth and development of clinical psychology. World War II marked the move of clinical psychologists from a heavily psychometric‐focused domain to a primarily clinical setting. The years immediately following the War saw the establishment of new training guidelines and accreditation standards of doctoral programs in clinical psychology along with a drastic expansion in the numbers of psychologists practicing in clinical settings.

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 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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.009
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0050.003

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 head0.131
GPT teacher head0.503
Teacher spread0.371 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2015
Admission routes1
Has abstractyes

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