paolo

@paolopalma.bsky.social

https://palmapa.com/about attitudes • intergroup relations • immigration • GBM health • HIV stigma

Personally I would love to see Bluesky expand. It shouldn’t just be the app for leftists who can’t stand Matt Yglesias! It should also be the app for liberals who can’t stand Matt Yglesias. And apolitical folks who can’t stand Yglesias. And, yes, even conservatives who can’t stand Matt Yglesias!

“If you take the deal, you’re going to be exploited. If you don’t take it, you’re going to die,” said attorney Frank Ssekamwa about the U.S. demand to access the health data of millions of Ugandans. “It’s the essence of digital colonialism.”

“Digital Colonialism”: U.S. Demands to Access Africans’ Data Raise Privacy, Sovereignty Concerns

The United States is requiring access to health data as part of lifesaving aid deals with African countries. The U.S. says the data will be aggregated and anonymized, but privacy experts fear the info...

propublica.org

New Jingle assessment: we show that the "Perspective Taking Protocol" has very poor reliability and near-zero convergent validity with other nominal measures of emotional and spatial perspective taking, empathy, and theory of mind. w/ @malte.the100.ci

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PsyArXivBot@psyarxivbot.bsky.social · 5d ago

The RFT Perspective Taking Protocol has very poor reliability and convergent validity with other measures of perspective taking, empathy, and theory of mind: A jingle assessment: https://osf.io/jb6c4

"We're all worried," as what it means to do research (in my field, Theoretical CS) seems to be shifting, and shifting fast. What to do? Senior researchers must lead by example, knowing that not everything will pan out. What I'm suggesting below may not work everywhere, but here's my own advice: 1/

nothing shouts "I don't read much" more than when you equate em-dashes with AI. as Kat says here: 1) AI uses em-dashes BECAUSE AUTHORS USE THEM & AI IS TRAINED ON OUR WRITINGS! 2) "AI checkers" are complete bunk (just another AI bullshit machine), 3) this is not a "list of three" haha

Kat Tenbarge@kattenbarge.bsky.social · 4d ago

So I woke up this morning to find out that Ozzy Osbourne’s son made a video falsely accusing me of using AI to write a Rolling Stone article about the Tate brothers.

This paper shows that immigration enforcement can _increase_ crime. Undocumented immigrants already have the lowest crime rate, but tough-on-immigration policy makes immigrants less likely to report crime. So immigration enforcement worsens the problem it was ostensibly meant to solve

Community Engagement and Public Safety: Evidence from
Crime Enforcement Targeting Immigrantst
By FELIPE GONÇALVES, ELISA JÁCOME, AND EMILY WEISBURST*
We study the role of victim reporting in the production of public safety.
We examine the Secure Communities program, a crime-reduction policy that involved police in detecting unauthorized immigrants and increased deportation fears in immigrant communities. We find that the policy reduced the likelihood that Hispanic victims report crimes to police and increased offending against Hispanics. The number of reported crimes is unchanged, masking these opposing effects. We show that reduced reporting drives the offending increase and provide the first elasticity of offending to victim reporting in the liter-ature, calculating that a 10 percent decline in reporting increases offending by 7.9 percent. (JEL J15, K37, K42)

A common mistakes I’ve seen quant researchers wading into intersectionality make is mistaking intersectionality as an interaction effect. I think I’m gonna start sending people this paper since it does a nice job explaining how intersectionality informs modeling choices doi.org/10.1016/j.ss...

Screenshot of article title “A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) by Clare Evan’s and colleagues Excerpt from article (1 of 2): Translating theory into methods, jointly considering the "double jeopardy" of two marginalized positionalities (Black and woman, for instance) would imply use of additive main effects to describe inequalities. However, this additive treatment would not capture what King called the multiplicative "multiple jeopardy" of being both Black and a woman (King, 1988). For instance, assessing risk of a health outcome additively based on race and gender (e.g., "Black" plus "woman" additive main effects) may not be enough to describe the prevalence of a particular health outcome among those who are Black and women, necessitating an additional
multiplicative interaction term (Black × woman).Excerpt from article (2 of 2): Put simply, intersectionality is a framework that enables us to theorize about, and critique, social experiences (exposures) at particular
intersections and the systems of oppression that create those experiences, while regression analyses that include interactions capture the effects of these experiences on particular outcomes. Thus, the effect of exposures may or may not result in statistically significant interaction effects. Failure to find statistically significant interaction effects says nothing about the validity of intersectionality-it neither proves nor disproves the existence of intersectional experiences. In this sense, intersectionality may be better thought of as a framework for analysis (e.g., how we structure our questions), rather than a testable theory.

As a scientific society, we're committed to inclusivity and making sure everyone has a spot at the table. Registration is $500, we secured a discounted hotel rate of $250/night, & flights are $700+. Lunches are an extra $30/day. Travel awards for $200 available. See you there!

What is this useful for? - LLM-only/LLM+human pilots help test effects before running human experiments. - LLM forecasts help identify which small-sample effects would replicate in larger held-out samples. - Expert+LLM judgments help select more effective interventions than expert-only selection.

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Any immigration researchers in my network: Are you aware of any survey instruments that assess feelings of grief and loss due to migration (e.g., missing friends and family; missing important milestones in family life; missing social spaces)?