Tag Archives: Gender Equality

What’s the gender gap among accredited medical doctors in France?

The French ‘Haute autorité de la santé (HAS)’ has published an open data set with the list of accredited medical doctors in France. So what’s the gender gap among them?

2015_GenderGapGrader_MedecinsAccreditesFR - Copy

Further details,

About NamSor

NamSor™ Applied Onomastics is a European designer of name recognition software. NamSor is committed to promote diversity and equal opportunity. NamSor launched NamSor Gender API, a free API to extract gender from personal names. http://www.namsor.com

About GenderGapGrader

GenderGapGrader’s mission is to publish gender gap estimates at the finest grain level, using whatever reference database we can identify for a particular industry: The Internet Movie Database (IMDB) for the film industry, “The Airman Database” for pilots… and more to come. http://gendergapgrader.com

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Video tutorial – How to Extract the Gender of Personal Names, using RapidMiner

RapidMiner is a leading software for advanced analytics, including predictive analytics, data mining, and text mining. We’ve built an onomastics extension for RapidMiner to enrich any database and infer the gender of personal names of all languages/cultures/alphabets/countries. The GendRE API offers unmatched accuracy, recognizing that “Andrea Rossini” is most likely an Italian name and so a male, whereas “Andrea Parker” is most likely an anglosaxon name and so female; 声涛周 is most likely a male ; “O. Sokolova” is most likely a female.

We’ve used RapidMiner and GendRE API to measure the gender gap among EU Officials, mining the 2014 European Union Directory. This video tutorial will show you step-by-step how it was done:

To redo this study or make your own, download RapidMiner with Onomastics extension and Documentation.

About NamSor

NamSor™ Applied Onomastics is a European designer of name recognition software. NamSor is committed to promote diversity and equal opportunity. NamSor launched GendRE API, a free API to extract gender from personal names. We support the @GenderGapGrader initiative. http://namsor.com

About GenderGapGrader

GenderGapGrader’s mission is to publish gender gap estimates at the finest grain level, using whatever reference database we can identify for a particular industry: The Internet Movie Database (IMDB) for the film industry, “The Airman Database” for pilots… and more to come. http://gendergapgrader.com

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Assessing the Gender Gap in the Film Industry

IMDb, the Internet Movie Database is a massive resource, offering a unique picture of the global film industry. The IMDb list of Actors and Actresses is one of the many databases that we’ve used to evaluate how accurate our Gendre API is in predicting gender from personal names.

IMDb also provides a list of world film directors. The file does not include a title or a gender. We’ve set a task for ourselves: to independently measure the gender gap among movie directors globally.

A previous study found -from assessing the gender of 11,197 directors, writers, producers, cinematographers, and editors-  that only one quarter of all narrative content creators were female. Can we confirm the findings of this study by enriching the gender information of 337,548 IMDb film directors, in all countries of the world?

IMDb Movie Directors – the Gender Gap

Our findings confirm the previous study. We were able to infer gender from 98% of the names in minutes. That’s the power of OpenData combined with APIs : they can do a lot of work for you!

2014_IMDb_MovieDirectors_GenderGap

2014_04_IMDB_table_vFLarge

A previous study : ‘Exploring the Barriers and Opportunities for Independent Women Filmmakers’

We reproduce the main quantitative findings below:

Executive Summary

Sundance Institute and Women In Film Los Angeles
Women Filmmakers Initiative

Exploring the Barriers and Opportunities for Independent Women Filmmakers
Stacy L. Smith, Ph.D., Katherine Pieper, Ph.D. & Marc Choueiti

Annenberg School for Communication & Journalism

University of Southern California

The purpose of this research is to examine how females are faring in American independent film. Studies have been conducted in the past on women in the mainstream U.S. film industry, but little research has yet been done in the U.S. independent film arena. To this end, we developed
a research strategy with a two-prong approach.
First, we quantitatively document the involvement of female content creators of U.S. films at the Sundance Film Festival, assessing the gender of 11,197 directors, writers, producers, cinematographers, and editors across 820 films classified as U.S. narratives (534 films) or documentaries (286 films) between 2002 and 2012.
The second prong documents the qualitative experiences of female filmmakers through interviews with emerging and seasoned content creators as well as key industry gate-keepers. Here, we surveyed 51 individuals to unpack the specific obstacles that face female directors and producers in the independent film arena. We also assessed participants’ perceptions of opportunities that may increase women’s involvement behind the camera. Below is a summary of key findings.

Quantitative Findings: American Films at the Sundance Film Festival 2002-2012
• At the Sundance Film Festival from 2002-2012, one quarter (25.3%, n=1,911) of all narrative content creators (i.e., directors, writers, producers, cinematographers, editors) were female and 39.1% (n=1,422) of all documentary content creators were female. This translates into a behind-the-camera gender ratio of 2.96 males to every 1 female in narratives and 1.56 males to every 1 female in documentaries.
• Females were half as likely to be directors of U.S. narratives (16.9%) than U.S. documentaries (34.5%). Similar disparity by storytelling platform (narrative vs. documentary) was found among female writers (20.6% vs. 32.8%), female producers (29.4% vs. 45.9%), female cinematographers (9.5% vs. 19.9%), and female editors (22% vs. 35.8%).
[…]

The full report can be download here.

Considering cultural differences

Can we dig deeper? As in any global industry, cultural differences are key to explain any phenomenon. But in the case of a cultural industry, the gender gap is not just a phenomenon – it’s also a causal factor: with films reproducing cultural clichés from one generation to the next, or conversely introducing cultural revolutions in a particular country. The role of foreign films directors in this process is essential.

At NamSor, we invented a simple yet efficient tool to represent cultural differences and diversity, the onoma(s)tic millefeuille:

2014_04_IMDB_vFLarge

Combining gender and cultural information, we found -for example- that women represent 26% of film directors having a French name, whereas for Algeria that figure drops to 19% and Japan 14%.

Meet us on 29 April 2014 at DataTuesday Paris with Girls in Tech Paris, on the topic ‘Women & Data’.

Further reading:

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New Gender App to enrich Android contacts Title information (Mr,Ms,…)

As a sample use case for the Gendre API, we’ve created an open source Android application on GitHub to enrich Android contacts with classic Title information (Mr,Ms,…) or the more iconic Gender (♀,♂,∅) and Heart (♥,♤,♢), inferred from the contact name.

To recognize name gender, the statistical approach works really well and we’ve deployed a free API with more that half a million unique names to deliver excellent results. But I have seen objections as to the feasibility of to that statistical approach to work globally (“But I don’t think it is feasible to cover all the names in the world. – Ramesh“)

We think we can cover all the names in the world by combining different approaches, including sociolinguistics, machine learning and we have a roadmap to do that.

For example, in most countries, the gender is ‘encoded’ in the first name (John, Isabel, …) but in other countries, the gender is encoded in the last name (O. Sokolova is probably Slavic/of Slavic origin and a Female).

Rare names (or invented names) are also difficult to classify using the statistical approach but we can guess their likely gender by looking at whether they ‘sound’ male or female, according to a particular culture (again having the last name is critical to pin down a particular culture/locale).

20140323_Gendre_pic2The current GENDRE App features are:

  • The gender prediction runs as a background service (every 10 sec, or 1 min, or 10 min or 1 hour)
  • Possibility to choose between three Title formats : Classic (Ms.,Mr.,M.), Gender (♀,♂,∅), Heart (♥,♤,♢)
  • Your existing Title data (Mr., Dr. etc.) is not overwritten, unless you specifically request a wipe
  • Once all contacts are genderized, the App shows a summary of how many Female / Male contacts were detected
  • You can share this #funstat on Twitter, if you like

You can find GENDRE App on GitHub (https://github.com/namsor/gendreapp). Feedback, as well as Open source contributors, are both welcome 🙂

To get GENDRE current version, we recommend using F-Droid App Store.

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Onomastics API for Gender Studies

[AGENDA] Meet us on 29 April 2014 at DataTuesday Paris with Girls in Tech Paris, on the topic ‘Women & Data’.

Gender Equality in French Politics

Women fill 26.17% of the seats at the French National Assembly (‘L’Assemblée Nationale’), according to the count of ‘M.’ and ‘Mme’ at
http://www.assemblee-nationale.fr/qui/xml/liste_alpha.asp?legislature=14
That’s double the figure of ten years ago (2002: 10.9%), good job ladies!

If that list did not indicate M. and Mme, could we still recognize the gender from the politician name? NamSor has published a simple API for Gender Studies which would give the following result: 26.31% (more that 99% accurate compared to the actual figure).

What about the Corporate World?

Playing with old data from a previous life in the corporate world (which cannot be disclosed), applied onomastics tell us that among ~4000 top company executives with a median base salary of 230,000 $ (USD), men landed a neat 890 million $ while women got 143 million $ in total. This huge gap is the result of less women having a top job and men earning ~20% more on average for the same job.

20140314_GenderEquality_Teaser_v001

Currently, the  Gendre API is in Beta Version and free to use.

Read also:

GenderEquality.java

You can download the sample program GenderEquality.java.zip

Detailed input/output

https://namsor-gendre.p.mashape.com/gendre/Damien/Abad/fr returned -0.9979281991518565
https://namsor-gendre.p.mashape.com/gendre/Laurence/Abeille/fr returned 0.9984725610426144
https://namsor-gendre.p.mashape.com/gendre/Ibrahim/Aboubacar/fr returned -1.0
https://namsor-gendre.p.mashape.com/gendre/Élie/Aboud/fr returned -0.9749559773038545
https://namsor-gendre.p.mashape.com/gendre/Bernard/Accoyer/fr returned -0.9996548690100067
https://namsor-gendre.p.mashape.com/gendre/Patricia/Adam/fr returned 0.9997681752981121
[…] namsor_api_calls.zip

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