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Record W2099301489 · doi:10.1002/ajhb.20110

A brief history of the Human Biology Association: 1974-2004

2005· article· en· W2099301489 on OpenAlexfundno aff
Michael A. Little, Gary D. James

Bibliographic record

VenueAmerican Journal of Human Biology · 2005
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsnot available
FundersUniversity of PennsylvaniaUniversity of TorontoJohns Hopkins UniversityUniversity of MichiganNational Institutes of HealthYale University
KeywordsHuman biologyContext (archaeology)Association (psychology)Variety (cybernetics)Library scienceTRACE (psycholinguistics)Environmental ethicsBiologyPolitical scienceGeneticsEpistemologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Originally incorporated as the Human Biology Council in 1974, the Human Biology Association, as it has been known since 1994, has matured in the intervening 30 years to become a society that represents broadly the interests of human biologists in the U.S. and throughout the world. The purpose of this paper is to trace the development of the Association from its foundation to the present in the context of changes in the organization of the Association and in its By-Laws, officers, committees, and membership; the history of the two journals that served as the Association's official organs (Human Biology and American Journal of Human Biology); and how the annual meetings have evolved from a modest one-day plenary session to meetings that last more than two days and include a variety of scientific contributions. Highlights of the national meetings include the Raymond Pearl Memorial Lecture, the Franz Boas Distinguished Achievement Award, and the Edward E. Hunt, Jr. Student Prize.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.319

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0040.001
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0950.064

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 head0.060
GPT teacher head0.412
Teacher spread0.352 · 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.

Study designNot applicable
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

Citations12
Published2005
Admission routes1
Has abstractyes

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