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Imanishi, Kinji (1902–1992)

2019· other· en· W4237192438 on OpenAlexaff
Pamela J. Asquith

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2019
Typeother
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPopularityClubCompetition (biology)GeographyMountaineeringPrimatologyEcologyEnvironmental ethicsBiologyArchaeologyPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

Abstract Kinji Imanishi (1902–1992) was an ecologist, anthropologist, and founder of primatology in Japan. His basic view emphasized co‐operation rather than competition in the natural world. This view held that “lifestyle partitioning” ( sumiwake ) among coexisting species explained the origin, or differentiation, of species. His concept of “species society” ( specia ) likewise focused on members of a species as a whole and their interactions with one another that maintain an equilibrium, rather than on the morphological differences and inclusive fitness of individual members of the species. He returned to these views many times in the course of his critiques of the predominance of natural selection theory to explain animal behavior and evolution. Imanishi was also an avid mountaineer and explorer, about which he also wrote prolifically. In 1931 he helped to found the still active Academic Alpine Club of Kyoto. In addition to his scientific contributions, his mountaineering exploits were the basis for his inspirational example and popularity among the general public in Japan.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.005

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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