Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 297

The DOI matches its Crossref record.

Definition of the problem - The evolution of human reproduction

Short, Roger Valentine·1976·Proceedings of the Royal Society of London. Series B. Biological Sciences

Abstract

Mammals exhibit a variety of density-dependent reproductive variables that enable them to come into equilibrium with their environment. These include the age at puberty, extent of embryonic and foetal death, neonatal mortality rate, and the duration of lactational anoestrus or amenorrhoea. These are all female-oriented mechanisms; most mammals are polygynous, and as the female has the greatest energy investment in reproduction she is the limiting resource. Unfortunately, man as a species has chosen to eliminate these constraints, so that we are now without any natural checks and balances on our rate of population growth. We will be entirely dependent on artificial forms of contraception for evermore. Since natural selection has always operated in the past to maximize reproductive potential, women are physiologically ill-adapted to spend the greater part of their reproductive lives in the non-pregnant state. Tomorrow’s contraceptives need to be chosen with great care, as they will have a considerable impact on our general health and social well-being.

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 · 10.1098/rspb.1976.0095

Cites

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

Cited by

See all 297

Metadata

Authors
Short, R. V.
Venue
Proceedings of the Royal Society of London. Series B. Biological Sciences
Published
1976-12-10
Volume
195
Issue
1118
Pages
3-24
ISSN
  • 0080-4649 (ISSN-L)
  • 2053-9193
OpenAlex
W2013589363
Cited by
297
References
0
FWCI
13.02
Type
journal article
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Definition of the problem - The evolution of human reproduction. https://app.cochat.ai/papers/10.1098/rspb.1976.0095
The paper
Short, R. V. (1976). Definition of the problem - The evolution of human reproduction. Proceedings of the Royal Society of London. Series B. Biological Sciences. https://doi.org/10.1098/rspb.1976.0095

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.