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Record W2135547416 · doi:10.5779/hypothesis.v11i1.326

The Origin of Personality types developed under selective pressures: Introducing Climatic-Adaptation Theory

2013· article· en· W2135547416 on OpenAlexvenueno aff
Han‐Gue Jo, Gi-Ho Jo

Bibliographic record

VenueHypothesis · 2013
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptation (eye)PersonalityPsychologyPersonality theoryCognitive psychologyComputer scienceSocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

Classification of different char - acteristics of individuals is a longstand- ing debate in the study of personality type. Although classified personality types among temperament theories in Western and Oriental medicine share similar char- acteristics, understanding their relation- ship is limited both by difficulty in scientif- ic approach and by a lack of explanation for the personality types that can encom- pass these theories. In this study, we sug- gest inherent personal traits and individual differences based on selective pressures. Personality types adapted to different cli- mate zones are proposed and are com- pared to temperament theories. INTRODUCTION Traditional Western and Oriental medicine have attempted to cat- egorize people into different personality types through theoretical concepts such as Ayurveda, traditional Chinese medi- cine, the four temperaments theory, and four-constitution medicine 1-3 . Although various theories have been proposed over the centuries, they share a similar fundamental attitude that humans have a connection to nature. In addition, the characteristics of each personality type have many commonalities among theo- ries regardless of culture 4-5 . Studies us- ing psychological assessments have also shown similarities between catego- rized individuals and personality types through temperament theories 3,6 . These facts suggest that traditional tempera- ment theories do not provide arbitrary categorizations of personality character- istics; rather, they may provide specific conditions for differentiating personality types. Since Charles Darwin's theory of evolu- tion by natural selection, modern humans have been understood as the result of evolution from a common ancestor 7 . Genetic and archaeological evidence has shed light on the history of human settlement in the Late Pleistocene 8-9 . As modern humans spread over the globe from Africa, adaptation due to natural selection in different environments, es- pecially climate conditions, played an important role in human survival 10 . Therefore, different personality types can be understood as resulting from adap- tations to different environmental con- ditions throughout the history of human settlement. In this study, we introduce a theory of the origin of personality types. This theory is based on the hypothesis that the migra- tion of humans and their adaptation to various climate zones led to the forma- tion of different personality types. This study aims to explain the traits of person- ality types based on adaptation to differ- ent climate zones and to compare these adaptive traits with the personality char- acteristics of temperament theories. In the next section, we explain the theory of climate adaptation. We then compare it with the temperament theories and lastly discuss the present work.

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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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.005
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.059
GPT teacher head0.282
Teacher spread0.224 · 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 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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