Evidence map›Paper›PMID 31929676›Full record

ArticleThe China quarterly2019

Understanding Bachelorhood in Poverty-stricken and High Sex Ratio Settings: An Exploratory Study in Rural Shaanxi, China.

Isabelle Attané, Lisa Eklund, M Giovanna Merli, Michel Bozon, Tania Angeloff, Bo Yang, Shuzhuo Li, Thierry Pairault, Su Wang, Xueyan Yang and 1 more

Abstract read
In one paragraph

Article in The China quarterly, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Isabelle AttanéINED, France.
Lisa EklundLund University, Sweden.
M Giovanna MerliDuke University, NC, USA.
Michel BozonINED, France.
Tania AngeloffIEDES, Paris 1 University, France.
Bo YangIPDS, Xi'an Jiaotong University, China.
Shuzhuo LiIPDS, Xi'an Jiaotong University, China.
Thierry PairaultCNRS and EHESS, Paris.
Su WangINED, Paris.
Xueyan YangIPDS, Xi'an Jiaotong University, China.
Qunlin ZhangSchool of Management, Xi'an Polytechnic University, China.

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

Coupled with the social practice of female hypergamy, the male surplus within the never-married population means that today's Chinese marriage market is extremely tight in particular for men from a rural background and the least privileged socio-economic categories. Drawing on quantitative data from a survey conducted in 2014-2015, this article sheds light on the situation of single men who are past prime marriage age in three rural districts of Shaanxi particularly affected by this phenomenon. It compares single men's characteristics to those of their married counterparts and offers insights into the heterogeneity of single men with the aim of challenging some commonly accepted assumptions about bachelorhood in rural China. Results suggest a strong internalization of the various characteristics, centred on being able to offer social mobility to a potential wife, that a man is expected to have to be attractive to women in a context where women have more choice in mate selection. We conclude that mate selection is highly marked by class, social norms, social interactions, health, generation and age, and requires the mobilization of certain amounts of individual, social and economic resources. Unwanted bachelorhood would thus be better understood using an intersectional approach rather than mainly in numeric terms.

Indexed as

bachelorhoodliving conditionsmate selectionnormative pressurerural Chinasex ratiosexual behaviorsocial relations

Identifiers

PMID31929676
PMCPMC6953728

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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.