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Record W2516720927 · doi:10.5964/ejop.v12i3.1119

Three decades investigating humor and laughter: An interview with Professor Rod Martin

2016· article· en· W2516720927 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEurope’s Journal of Psychology · 2016
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsLaughterHumor researchPsychologyConceptualizationSense of humorPsychoanalysisSocial psychology

Abstract

fetched live from OpenAlex

Since the start of the 21st century, the investigation of various psychological aspects of humor and laughter has become an increasingly prominent topic of research. This growth can be attributed, in no small part, to the pioneering and creative work on humor and laughter conducted by Professor Rod Martin. Dr. Martin's research interests in humor and laughter began in the early 1980s and continued throughout his 32 year long career as a professor of clinical psychology at the University of Western Ontario. During this time, Dr. Martin published numerous scholarly articles, chapters, and books on psychological aspects of humor and laughter. Professor Martin has just retired in July 2016, and in the present interview he recounts a number of research highlights of his illustrious career. Dr. Martin's earliest influential work, conducted while he was still in graduate school, stemmed from an individual difference perspective that focused on the beneficial effects of sense of humor on psychological well-being. This research focus remained evident in many of Professor Martin's subsequent investigations, but became increasingly refined as he developed several measures of different components of sense of humor, including both adaptive and maladaptive humor styles. In this interview, Dr. Martin describes the conceptualization, development and use of the Humor Styles Questionnaire, along with suggestions for future research and development. In doing so, he also discusses the three main components of humor (i.e., cognitive, emotional and interpersonal), as well as the distinctions and similarities between humor and laughter. Further highlights of this interview include Professor Martin's comments on such diverse issues as the genetic versus environmental loadings for sense of humor, the multifaceted nature of the construct of humor, and the possible limitations of teaching individuals to use humor in a beneficial manner to cope with stress and enhance their social and interpersonal relationships.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.092
GPT teacher head0.395
Teacher spread0.303 · 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