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Record W1968034015 · doi:10.1037/a0029192

Herbert M. Lefcourt (1936–2011).

2012· article· en· W1968034015 on OpenAlexaffabout
Rod A. Martin, Richard A. Steffy

Bibliographic record

VenueAmerican Psychologist · 2012
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyPersonalitySocial psychology

Abstract

fetched live from OpenAlex

Presents an obituary for Herbert M. Lefcourt. In the summer of 1963, with a freshly minted PhD degree in his hands, Lefcourt moved to Waterloo, Ontario, Canada. Along with several other young faculty members from the United States, Herb had been recruited to help establish a new PhD program in clinical psychology at the University of Waterloo. Over the ensuing years, it became recognized as one of the leading clinical programs in North America. Ever an optimist with a zest for life, Herb focused on the positive side of human nature in his research interests. While others studied stress and distress, Herb was more interested in the personality traits of people who are particularly resilient, able to withstand adversity without succumbing to illness and depression. Later in his career, his interests turned to the study of the sense of humor, again conceptualized as a personality variable with important implications for mental and physical health. Herb retired from the university in 1996 and was awarded the honorific of Distinguished Professor Emeritus. He had a very enjoyable retirement, pursuing his many interests, which included international travel, hiking, woodworking, literature, film, and classical music, and enjoying his summer cottage on Manitoulin Island in Lake Huron. He is remembered as an energetic teacher who, in addition to having an eclectic command of the theory and research, drew on his vast knowledge of literature, film, and current events to make his lectures interesting, informative, and thought-provoking.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.017

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 head0.040
GPT teacher head0.450
Teacher spread0.410 · 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 designObservational
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

Citations0
Published2012
Admission routes2
Has abstractyes

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