@DrArleo Supporting outstanding radiologists like you @DrArleo is such a joy! You make a great point in directing all to resources on avoiding bias in LOR. Here is more research on the topic: https://t.co/KCrnlFFHxd Biases may reveal themselves in subtle f
@rha_star @AstroKatie I see. Standout words, right? https://t.co/JClUurBwZp
Also, let’s tell committees about our male students’ “soft skills” (I dislike the term) virtues. If they’re caring and compassionate, they’re likely to be better scientists, doctors, and mentors. Those are important features to have. https://t.co/2zr7SugOg
Writing a recommendation letter for a fellowship, and figuring out how gender stereotypes could bias how recommenders describe female compared to male applicants. 🤔😐 https://t.co/7ZAvnPv8tc #AlchemyOfTheClassroom
RT @tomstafford: Evidence: A Linguistic Comparison of Letters of Recommendation for Male and Female Chemistry and Biochemistry Job Applican…
Evidence: A Linguistic Comparison of Letters of Recommendation for Male and Female Chemistry and Biochemistry Job Applicants (Schmader et al, 2007) https://t.co/QaYNrQaFHW https://t.co/kKMCSUqEO0
@SMasonGarrison @LisaKramer The research I've seen suggests that male and female recommendation letters are largely similar, although that lede is usually buried. https://t.co/bPBU5JAFeV
Similarly, people are more likely to use standout adjectives, such as “superb,” “outstanding,” “remarkable,” and “exceptional” to describe male than female job applicants. https://t.co/sQgHX19AX2 https://t.co/hg95P5TC9r
RT @AlainnaJJ: "Recommenders used significantly more standout adjectives to describe male as compared to female candidates. Letters contain…
RT @JGaladePablo: @hamlinr1 There is this from 2007, there should be more updated research: https://t.co/OTLti49j1u
RT @JGaladePablo: @hamlinr1 There is this from 2007, there should be more updated research: https://t.co/OTLti49j1u
RT @JGaladePablo: @hamlinr1 There is this from 2007, there should be more updated research: https://t.co/OTLti49j1u
RT @JGaladePablo: @hamlinr1 There is this from 2007, there should be more updated research: https://t.co/OTLti49j1u
@hamlinr1 There is this from 2007, there should be more updated research: https://t.co/OTLti49j1u
Check out this very cool #Gender #Bias Calculator: https://t.co/WVCeG7jCxN (thanks @Dr_Rosti). I tried it on 10 past rec letters for male and 10 letters for female students and for each calculated a ratio between male and female attributes used. #AcademicT
@ManuelKRausch1 @blairajohnson Have you seen this bias calculator: https://t.co/pirdLYV53h. This can be used to test the choices in words for male/female applicants. It is based on a paper by Schmader et al. 2008 (https://t.co/WJlpaXcfzV), and also this re
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
RT @SyedLabGI_AI: @DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: e…
@DrGlia18 And this one: https://t.co/LLp2WOxVJR Of note, here are the replacement adjectives I now use: Standout words: excellen*, superb, outstanding, unique, exceptional, unparalleled, *est, most, wonderful, terrific*, fabulous, magnificent, remarkable,
And another: https://t.co/evEnln4jJl
@pedsmd2b Has to do with the paper the calculator was based on. It was made for job applications for faculty positions, and "student" went into the teaching category, which was found more in letters for women. https://t.co/8uDCup4UkX
@pedsmd2b @AmyOxentenkoMD @JulieSilverMD @harvardmed @DrSinhaEsq @DrHowardLiu @MVGutierrezMD @SashaShillcutt @TiffanyLovePhD @LaurieBaedke @AllisonLarsonMD @PROWDWomen From Schmader T, Whitehead J, Wysocki VH. A Linguistic Comparison of Letters of Recommen
@pedsmd2b @AmyOxentenkoMD @JulieSilverMD @harvardmed @DrSinhaEsq @DrHowardLiu @MVGutierrezMD @SashaShillcutt @TiffanyLovePhD @LaurieBaedke @AllisonLarsonMD @PROWDWomen Has to do with the paper the tool was based on. It was made for job applications for fac
RT @ess_consortium: ESS Consortium Director Toni Schmader and colleagues' article on #GenderBias in STEM letters of rec is the most mention…
ESS Consortium Director Toni Schmader and colleagues' article on #GenderBias in STEM letters of rec is the most mentioned article in the psychology journal Sex Roles' 45 year history. Congratulations to the research team! https://t.co/IKpdrz7Erq
RT @Bioinfo4women: A Linguistic Comparison of Letters of Recommendation for Male and Female Chemistry and Biochemistry Job Applicants https…
A Linguistic Comparison of Letters of Recommendation for Male and Female Chemistry and Biochemistry Job Applicants https://t.co/1YKGcUylwc
@DaviesswPhD I like this in theory, but the word list upon which it's based (see below) is pretty limited and getting a pass is a low bar. Might be good to fork a version that includes words like "personality", "cheerful", which people seem to use more for
A handy online calculator to help you assess #gender #bias (usually against females) in your recommendation letters: https://t.co/ql2sUkO1bo based on this paper: https://t.co/fSzZmhDgpY #Diversity @womensbrainpro @WINRePo1 @500womensci @CommunityChron @i
RT @ynancy: Le sigh… MT @EcoEvoEvoEco: Shocked by difference in words 4 male vs female rec letters: http://t.co/gnl5T4oWiJ http://t.co/rzMi…
RT @odmanasli: Referans mektuplarında kadınlar ve erkekler için kullanılan kelimeleri derlemişler, toplamışlar (2007 makalesi)...Toplumsal…
RT @odmanasli: Referans mektuplarında kadınlar ve erkekler için kullanılan kelimeleri derlemişler, toplamışlar (2007 makalesi)...Toplumsal…
RT @ynancy: Le sigh… MT @EcoEvoEvoEco: Shocked by difference in words 4 male vs female rec letters: http://t.co/gnl5T4oWiJ http://t.co/rzMi…
RT @odmanasli: Referans mektuplarında kadınlar ve erkekler için kullanılan kelimeleri derlemişler, toplamışlar (2007 makalesi)...Toplumsal…
RT @odmanasli: Referans mektuplarında kadınlar ve erkekler için kullanılan kelimeleri derlemişler, toplamışlar (2007 makalesi)...Toplumsal…
RT @odmanasli: Referans mektuplarında kadınlar ve erkekler için kullanılan kelimeleri derlemişler, toplamışlar (2007 makalesi)...Toplumsal…
Referans mektuplarında kadınlar ve erkekler için kullanılan kelimeleri derlemişler, toplamışlar (2007 makalesi)...Toplumsal cinsiyete giriş dersinde çok işe yarıyor. Plastik bir tasvir...
RT @ynancy: Le sigh… MT @EcoEvoEvoEco: Shocked by difference in words 4 male vs female rec letters: http://t.co/gnl5T4oWiJ http://t.co/rzMi…
@MCAsche @EntsocAmerica Good luck! I suggest analyzing your own letter for gender biased language - we are often our own worst enemies when it comes to implicit bias. See https://t.co/YRzOHmkP7Q and https://t.co/svoJhtevdN
RT @M_J_Spasojevic: @theHTlab I think the goal is similar percentage of male biased words in all your letters. Here is the associated publi…
@theHTlab I think the goal is similar percentage of male biased words in all your letters. Here is the associated publication https://t.co/TzFPuhFFp6
RT @calicolicali: (元論文2008年だからもう12年も前だね。https://t.co/l0fmllmS5z
(元論文2008年だからもう12年も前だね。https://t.co/l0fmllmS5z
@QuantumDaisy A few sources (there are many more!): https://t.co/JlYJ4U5RJ2; https://t.co/XPtlvfd2sh; https://t.co/Z4PSjvOpMD; https://t.co/nf4cmJpZeM
RT @EliseWeertsPhD: Seriously. This is why we need to think deeper about bias and collect data with appropriate samples of men, women and u…
Seriously. This is why we need to think deeper about bias and collect data with appropriate samples of men, women and underrepresented populations in science.
@EliseWeertsPhD Good call! It seems the algorithm is based on a paper that conducted linguistic analyses of "886 letters of recommendation written on behalf of 235 male and 42 female applicants" https://t.co/5ACPT3lIjS
@sciliz The supplement of this paper has a great table of words to use. https://t.co/ZFCeMLNq3L
RT @_ayme: Sesgos de género en las cartas de recomendación: 23. https://t.co/RmGeUDYyUZ 24. https://t.co/MlwdHsWTTL 25. https://t.co/epE…
RT @_ayme: Sesgos de género en las cartas de recomendación: 23. https://t.co/RmGeUDYyUZ 24. https://t.co/MlwdHsWTTL 25. https://t.co/epE…
Sesgos de género en las cartas de recomendación: 23. https://t.co/RmGeUDYyUZ 24. https://t.co/MlwdHsWTTL 25. https://t.co/epEAoIfJgU (resumen de los dos estudios enlazados más arriba)
RT @JulesDeep: @williamwilcock Check out this article: https://t.co/eJYjxOGAZS for more info "...recommenders used significantly more stan…
Interesting calculator shared by Dr. Chisholm-Burns on gender-bias discrimination in letters of recommendation (inspired by this article: https://t.co/Hg69cRZPZw): https://t.co/MmX6uTXAvr #ACCPAM19
If you are an academic that writes letters of recommendation, read this!
RT @JulesDeep: @williamwilcock Check out this article: https://t.co/eJYjxOGAZS for more info "...recommenders used significantly more stan…
@williamwilcock Check out this article: https://t.co/eJYjxOGAZS for more info "...recommenders used significantly more standout adjectives to describe male as compared to female candidates. Letters containing more standout words also included more ability
RT @annaboconnell: This 2007 study analyzed the language in letters and documented a difference in letters for men and women. The paper con…
RT @annaboconnell: This 2007 study analyzed the language in letters and documented a difference in letters for men and women. The paper con…
This 2007 study analyzed the language in letters and documented a difference in letters for men and women. The paper contains a list of the words used in the analysis. https://t.co/6U2fegLFri
RT @jwiggi21: A tool to help you write a letter of recommendation free of unconscious/inadvertent bias. https://t.co/HoSsusSVC8
RT @omearabrian: @jwiggi21 @GretchenSneegas Yes: https://t.co/W6IorVTMU4 -- please feel free to use! Source at https://t.co/we3CVOhmG5 Ba…
A tool to help you write a letter of recommendation free of unconscious/inadvertent bias.
RT @omearabrian: @jwiggi21 @GretchenSneegas Yes: https://t.co/W6IorVTMU4 -- please feel free to use! Source at https://t.co/we3CVOhmG5 Ba…
RT @HoityPloidy: This is a cool resource for checking that different letters you write aren’t biased in their distribution of keywords rela…
This is a cool resource for checking that different letters you write aren’t biased in their distribution of keywords related to different categories.
Excellent resource for reference letter writing!
RT @omearabrian: @jwiggi21 @GretchenSneegas Yes: https://t.co/W6IorVTMU4 -- please feel free to use! Source at https://t.co/we3CVOhmG5 Ba…
RT @dytcmd: @m_e_nielsen @DrPFili @angiesmith_uro This is actionable (ie, you have the ability as a letter writer to check your work before…
RT @dytcmd: @m_e_nielsen @DrPFili @angiesmith_uro This is actionable (ie, you have the ability as a letter writer to check your work before…
RT @dytcmd: @m_e_nielsen @DrPFili @angiesmith_uro This is actionable (ie, you have the ability as a letter writer to check your work before…
RT @dytcmd: @m_e_nielsen @DrPFili @angiesmith_uro This is actionable (ie, you have the ability as a letter writer to check your work before…
RT @dytcmd: @m_e_nielsen @DrPFili @angiesmith_uro This is actionable (ie, you have the ability as a letter writer to check your work before…
@m_e_nielsen @DrPFili @angiesmith_uro This is actionable (ie, you have the ability as a letter writer to check your work before submitting) #HeForShe https://t.co/utsBCSgO8Y
@dramypark @arghavan_salles @reshmajagsi @WomenSurgeons @EricKleinMD @dmarchalik @MAoftheAUA @AmCollSurgeons @boardobgyn @ACOGAction @GynSurgery @FPMRS @Dr_UnaLee @cheryliglesia Letter-writers: https://t.co/yeRcyniQII is a gender-bias calculator for recomm
RT @kph3k: And I'm so sick of them coming at me again // 'Cause if I was a man, then I'd be the man // I'd be the man // I'd be the man htt…
And I'm so sick of them coming at me again // 'Cause if I was a man, then I'd be the man // I'd be the man // I'd be the man https://t.co/BSF9chTagx
For a bit of fun (or horror), you can paste letters you've written for others, or letters others have written for you, into this calculator & see the breakdown of female- vs male-associated words: https://t.co/ndQHpL17l1 (Based on this paper: https://