Evidence map›Paper›PMID 26859570›Full record

ArticlePloS one2016

Converging Evidence of Ubiquitous Male Bias in Human Sex Perception.

Justin Gaetano, Rick van der Zwan, Matthew Oxner, William G Hayward, Natalie Doring, Duncan Blair, Anna Brooks

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Justin GaetanoCognitive Neuroscience Research Cluster, Southern Cross University, Coffs Harbour, Australia.
Rick van der ZwanCognitive Neuroscience Research Cluster, Southern Cross University, Coffs Harbour, Australia.
Matthew OxnerDepartment of Psychology, University of Hong Kong, Hong Kong, People's Republic of China.
William G HaywardDepartment of Psychology, University of Hong Kong, Hong Kong, People's Republic of China.
Natalie DoringCognitive Neuroscience Research Cluster, Southern Cross University, Coffs Harbour, Australia.
Duncan BlairCognitive Neuroscience Research Cluster, Southern Cross University, Coffs Harbour, Australia.
Anna BrooksCognitive Neuroscience Research Cluster, Southern Cross University, Coffs Harbour, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visually judging the sex of another can be achieved easily in most social encounters. When the signals that inform such judgements are weak (e.g. outdoors at night), observers tend to expect the presence of males-an expectation that may facilitate survival-critical decisions under uncertainty. The present aim was to examine whether this male bias depends on expertise. To that end, Caucasian and Asian observers targeted female and male hand images that were either the same or different to the observers' race (i.e. long term experience was varied) while concurrently, the proportion of targets changed across presentation blocks (i.e. short term experience change). It was thus found that: (i) observers of own-race stimuli were more likely to report the presence of males and absence of females, however (ii) observers of other-race stimuli--while still tending to accept stimuli as male--were not prone to rejecting female cues. Finally, (iii) male-biased measures did not track the relative frequency of targets or lures, disputing the notion that male bias derives from prior expectation about the number of male exemplars in a set. Findings are discussed in concert with the pan-stimulus model of human sex perception.

Indexed as

Models, PsychologicalSex CharacteristicsVisual PerceptionAdolescentAdultAsian PeopleCuesDiscrimination, PsychologicalFemaleHandHumansMaleSexismSexualityWhite PeopleYoung Adult

Identifiers

PMID26859570
PMCPMC4747496

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.