MétaCan
Menu
Back to cohort
Record W2073773582 · doi:10.1093/biosci/biu025

An Evolutionary Primer on Pregnancy

2014· article· es· W2073773582 on OpenAlexaff
Bryan D. Neff

Bibliographic record

VenueBioScience · 2014
Typearticle
Languagees
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsWestern University
Fundersnot available
KeywordsPrimer (cosmetics)PregnancyEvolutionary biologyBiologyZoologyGeneticsChemistry

Abstract

fetched live from OpenAlex

Imagine scooping up your newly fertilized eggs with your mouth and swallowing them but only after shutting down your digestive system so that your stomach provides a safe and nurturing environment for the eggs to develop. Eight weeks later, you regurgitate your brood of tiny froglets, which can now simply hop away. Such is the story of reproduction in the Australian gastric-brooding frog Rheobatrachus silus. But is it an example of pregnancy? In the book Evolutionary Perspectives on Pregnancy, author John C. Avise does a wonderful job of examining the diversity of reproductive modes across many taxa, including mammals, fishes, reptiles, amphibians, and even Anthozoa (the corals). However, perhaps ironically, he is not explicit about what is and what is not ­pregnancy. Indeed, among some 400 terms in the glossary, pregnancy is not listed. In fairness, Avise does detail several defining features of true pregnancy in the opening chapter. Regardless of this point, I found the book to be an engaging general-interest treatment of how parents invest in their offspring. This volume is most likely to appeal to students with an interest in biology, teachers, scientists in fields outside of biology, natural historians, and lay persons with a penchant for learning about peculiar forms of life on Earth. The book's treatment of pregnancy (or pregnancy-like modes of reproduction) may be too introductory for scientists in the field to find useful, although as a researcher in the field of evolutionary ecology, I still found the prose engaging, easy to read, and thought provoking. The book is thoroughly illustrated; the animal drawings are credited to Trudy Nicholson. These drawings help make the text flow, and the “factoids” that accompany some of the drawings are fascinating and will enthrall the trivia buff. Avise is a distinguished professor at the University of California, Irvine, and a member of the National Academy of Sciences. He is, without a doubt, one of the most influential authors in the field of evolutionary ecology and is perhaps best known for his pioneering applications of molecular DNA techniques to systematics, phylogeography, and mating systems. Evolutionary Perspectives on Pregnancy is the last of a trilogy written by the author, in which he explores the diversity of reproductive systems in nature. The preceding two volumes were focused on clonal reproduction and hermaphroditism. This final book is divided into two sections—the first is a narrative detailing the diversity of the natural history of pregnancy. Avise's coverage is by no means exhaustive, and the examples perhaps err on the side of the most bizarre mating systems found in nature, but it is engaging and fascinating. The second section is focused on the scientific thinking around the evolution of the diversity within reproductive modes. It covers some of the fundamental developments in the field of evolutionary ecology, including Hamilton's rule and, more broadly, cooperation and kin selection, parent– offspring conflict, sibling conflict, anisogamy and Bateman's principle, and sex-role reversal with an emphasis on the pipefishes (a system that Avise has studied). In this second section, I can appreciate the simplicity and accessibility with which Avise presents what are sometimes complicated concepts. This mastery underlies his immense impact in the formal scientific literature—a literature that, otherwise, far too often seems bent on making ideas and concepts as complicated and as inaccessible as is possible. The book concludes with an appendix that provides a short primer on molecular genetic parentage analysis—a technique seemingly so simple that it is easy to forget how it has revolutionized our understanding of mating systems. A shortcoming of the book is that it provides few details on the many unanswered or controversial concepts and ideas in evolutionary biology. It also lacks a historical perspective on the proverbial battles that were fought over the decades, such as those between the ethologists and behaviorists, which helped define the field. The book does close with the enigma of multiple mating, which is a controversial topic in the scientific literature today. Why, in so many species, do females (or males) mate with more than one partner? The general adaptation hypothesis is that by mating with multiple individuals, females (or males) increase their Darwinian fitness. In contrast, Avise points out that the Poisson (or random) distribution does a pretty good job of explaining the distribution of mate numbers. All other things being equal, Ockham's razor dictates that simpler explanations—those with fewer assumptions—are more likely to be true. Indeed, I have suggested that Avise's impact stems from such simplicity in explanation. Although it is a somewhat unsatisfying conclusion to a researcher such as myself who is working to address this very question, no further explanation beyond chance may be needed to answer the enigma of multiple mating. Overall, I found the scope of the book to be broader than just perspectives on pregnancy and might, instead, have titled it Evolutionary Perspectives on Sexual Reproduction.

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)0.006
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.018
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0060.001

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 head0.030
GPT teacher head0.318
Teacher spread0.288 · 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractno

Explore more

Same venueBioScienceSame topicBirth, Development, and HealthFrench-language works237,207