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We stored these genders in a csv, and uploaded this to S3 in AWS.
The method requires that, for data extraction and synthesis, 'ecological sentences' are formulated following the pattern: 'With this intervention, these outcomes occur with these population foci and within these grades (ages), with these genders... and these ethnicities in these settings' [[ 39], p1].
Judging from the combined estimates using stallions with no paddock as baseline, indicated that mares that were kept in paddocks (exp 0.812-0.120+0.296) = OR 2.7) had a higher seroprevalence than geldings in paddocks (OR = 1.1), the gender difference being smaller when both these genders did not specifically have access to paddocks (data not shown).
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These gender roles are changing rapidly.
Sadly these gender stereotyping preconceptions are often spot-on.
What is most astonishing about these gender-switched scenes is how well they work.
"We don't have good explanations for these gender differences," said Dr. Alice K. Jacobs, a cardiologist at Boston University.
Of course, these gender-flipped clips all pass this test with flying colours.
These gender switches may unsettle for a moment but they do not distort the play.
Overcoming these gender inbalances requires a sustained effort across a number of initiatives.
A lot of the interesting stuff that's happening online doesn't have to rely on these gender stereotypes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com