Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 964

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Evolution, the Extended Synthesis

·2010·The MIT Press eBooks
DOI 10.7551/mitpress/9780262513678.001.0001
Open this paper in CoChat — free account

Abstract

Prominent evolutionary biologists and philosophers of science survey recent work that expands the core theoretical framework underlying the biological sciences. In the six decades since the publication of Julian Huxley's Evolution: The Modern Synthesis, the spectacular empirical advances in the biological sciences have been accompanied by equally significant developments within the core theoretical framework of the discipline. As a result, evolutionary theory today includes concepts and even entire new fields that were not part of the foundational structure of the Modern Synthesis. In this volume, sixteen leading evolutionary biologists and philosophers of science survey the conceptual changes that have emerged since Huxley's landmark publication, not only in such traditional domains of evolutionary biology as quantitative genetics and paleontology but also in such new fields of research as genomics and EvoDevo. Most of the contributors to Evolution, the Extended Synthesis accept many of the tenets of the classical framework but want to relax some of its assumptions and introduce significant conceptual augmentations of the basic Modern Synthesis structure—just as the architects of the Modern Synthesis themselves expanded and modulated previous versions of Darwinism. This continuing revision of a theoretical edifice the foundations of which were laid in the middle of the nineteenth century—the reexamination of old ideas, proposals of new ones, and the synthesis of the most suitable—shows us how science works, and how scientists have painstakingly built a solid set of explanations for what Darwin called the “grandeur” of life. Contributors John Beatty, Werner Callebaut, Jeremy Draghi, Chrisantha Fernando, Sergey Gavrilets, John C. Gerhart, Eva Jablonka, David Jablonski, Marc W. Kirschner, Marion J. Lamb, Alan C. Love, Gerd B. Müller, Stuart A. Newman, John Odling-Smee, Massimo Pigliucci, Michael Purugganan, Eörs Szathmáry, Günter P. Wagner, David Sloan Wilson, Gregory A. Wray

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.7551/mitpress/9780262513678.001.0001

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 56 references

Cited by

Metadata

Venue
The MIT Press eBooks
Publisher
The MIT Press
Published
2010-03-26
DOI
10.7551/mitpress/9780262513678.001.0001
OpenAlex
W2152209670
Cited by
964
References
56
FWCI
124.58
Type
book
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.