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Of unimpeachable character

2001· article· en· W2091319567 on OpenAlex
Bernard J. Crespi

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.

Bibliographic record

VenueJournal of Evolutionary Biology · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicEvolution and Science Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsReductionismBiologyCharacter (mathematics)Set (abstract data type)EpistemologyCognitive scienceEvolutionary biologyComputer sciencePhilosophyPsychology

Abstract

fetched live from OpenAlex

The Character Concept in Evolutionary Biology. Edited By Günter P. Wagner. Academic Press. 2001. 622 pp. ISBN 0 12 730055 4 (hardcover). When teaching evolutionary biology to my undergraduates, I display an overhead page comprising a dozen different species concepts, each to them more arcane and confusing than the last. After their fear of having to memorize them all has been dispelled, comes the inevitable question of which is correct, best or generally agreed upon. They are not happy to hear that there is no answer – what, after all, will they write on the exam? From the resultant wreckage of Mayr and colleagues I seek then to instill in them the idea that biological concepts, like other words, are tools with different uses for different problems, and usefulness for gaining novel insight as the main criterion for adoption. This book is the ultimate in tool kits, and instruction guides, to a concept even more diverse, simple yet profound than species: the concept of the character. Characters pervade all areas of evolutionary biology, from DNA to behaviour. They result from the human predilection to parse complex, integrated systems into a more or less tidy set of components, from behaviour, to linear measurements of morphology, to organ systems, tissues, cells, metabolism, proteins, RNA, DNA, and perhaps beyond to biochemicals, atoms and quarks. The tension between such extreme reductionism and a radical wholism that denies biological deconstruction, due to the obvious integration that defines organisms themselves, forms the core of this book. As for the species concepts above, there are no answers, only ideas, and this book is rich with them almost to a fault. The Character Concept in Evolutionary Biology comprises 25 chapters divided into five main parts: history, new approaches to the character concept, operational character detection, the mechanistic nature of characters and evolutionary character origin. Within this framework, we find chapters that describe and define the character concept with methods including history and philosophy of science, biomathematics, developmental biology, functional morphology, molecular and quantitative genetics, optimality theory, systematics, palaeontology and phylogenetics. The level of scholarship is extraordinarily high, and all evolutionary biologists are likely to find at least several chapters to pique their interest. From Aristotle to butterfly eyespots, from genomics to limb buds, this book is inexorably integrative, and herein lies its main strength – by drawing from highly disparate disciplines, it should inspire us to consider with a fresh eye, and perhaps assemble and dissemble with new tools, the ‘characters’ that we each continually parse, analyse and discuss. But be warned – such inspiration will come at a cost: much of this book is heavy, dense reading, deeply imbued with specialist terminology, abstract argument and philosophy that to an empiricist and skeptic like myself sometimes borders on mysticism or psychology. For the brave professor, this book could serve as the basis for an ambitious graduate course in integrative evolutionary biology, though for most, it will provide insights mainly from the subset of chapters within or tangential to their own discipline, or in disciplines they are looking to explore. Like my undergraduates learning about species concepts, I came away from this book a bit bewildered, with a flurry of incompatible concepts swimming in my brain, and as yet unsure what I had learned. But perhaps most importantly, I was aware of new questions and approaches that spring from close scrutiny of the character concept, and from stepping back to see how it applies at all levels of biological organization. Speaking of plant parts, Goethe once remarked ‘alles ist Blatt’ (all is leaf), as he, like the romantic poets, sought unity in all creation. This book helps us seek unity and integration though a concept: ‘alles ist Charakter’, the natural units of life.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.273
Teacher spread0.228 · 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