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Bias in gender representation, by country and subject.

Domaine:

education

Type de record:

dataset
Créateur:
LeeChrRor
Hôte:avatar

Note: These figures show the predicted mean share of gendered words that are female. This measure is first calculated for each individual book, which are then estimated as a function of country, subject, grade, and (log) book length. We exclude countries with fewer than five books in our corpus. The high-income countries are Australia, the UK, and the United States. The low and middle income countries with donor-funded books are Bhutan, Ethiopia, Guyana, Kenya, Lesotho, Liberia, Namibia, Nigeria, Papua New Guinea, Samoa, Sierra Leone, South Africa, South Sudan, Tonga, Zambia, and Zimbabwe.

Visit

figshare.com

Tags

BiotechnologyCancerScience PolicyInfectious DiseasesEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedstereotypical gendered rolespublicly available onlinenewly assembled corpus+16

Licenses

CC BY 4.0

Similaires

Bias in gender representation, by country, subject, and income group (including names).

Bias in gender representation, by country, subject, and income group (including names).

Note: These figures show the predicted mean share of gendered words that are female. Here, word c