search

phseiff / gender-render

Template-system and proof-of-concept for rendering gender-neutral text-, email- and RPG-text-templates with the correct pronouns of all people involved.
https://phseiff.com/gender-render
Other
19 stars 0 forks source link
gender gender-equality grammatical-gender pronouns python3 specification template-engine template-language

readme

{gender*render}

Template-system for rendering gender-neutral text-, email- and RPG-text-templates properly gendered and with the correct pronouns of all people involved.

Ever had the struggle of correctly gendering people in your automated emails? Are you sick of writing email templates that are unsupportive of non-binary people, gender everyone with ugly underscores, or clumsily avoid pronouns alltogether, costing you hours of work to frickle them together? With gender*render, you can write easy, gender-neutral templates for your emails, and automatically render them into correctly gendered emails, given the pronouns and names of all people concerned! [Jump to quickstart]

to quickstart

Gender*render is not only a piece of software that can definitely come in handy if you want to write progressive automated emails, but also a proof of concept. Many people say that correctly gendering non-binary people, people with unusual pronouns, or people with no pronouns at all in automated fashions is impossible. And many live by said premise. gender*render as a concept is supposed to be a proof that this is simply false, and that any such claims come from a mixture of missing will and laziness, with technical limitations merely being a pretext. Gender*render comes with an in-depth specification, so you can easily implement it in any language of your choice, port it to other (human) languages or read about the thoughts behind this project! [Download spec] [other versions & changelog]

download spec

Advantages/Features

Using gender*render offers a set of advantages over traditional "one for men and one for women"-email templates:

If your web forms ask your customers for their pronoun preferences instead of their gender, preferably with text entry boxes instead of dropdowns, and you have these pronoun information in a nice data base, you can easily automate the process of correctly gendering your emails based on the person they are directed to.

Content šŸ“–

  1. Introduction
  2. Advantages & Features
  3. Content <-- you are here
  4. Quick start
  5. Spec downloads & changelog
  6. stats & links
  7. Mission Statement
  8. License
  9. Development & Contributing
  10. Code of Conduct

Quick Start šŸš—šŸ’Ø

Installation ā€¢ Usage ā€¢ Template Syntax

Installation

pip3 install gender-render

Usage

import gender_render as gr

# use:
rendered_template_as_a_str = gr.render_template(
    template_as_a_string,
    pronoun_data_as_a_string_or_dict
)

# or:
rendered_template_as_a_str = gr.render_template(
    template_file_path,
    pronoun_data_file_path,
    takes_file_path=True
)

Template Syntax

Template & Pronoun Data Result
**Addressing one person**: * Template: ```nohighlight Dear {Mr_s Doe}, Yesterday, I was asked about your wellbeing, "Is there reason to worry about {them}?", and I told the person who asked that [...] ``` * Pronoun Data: ```json { "address": "Mrs", "family-name": "Smith", "object": "her" } ``` Having more value in the pronoun data than needed is, of course, also allowed! ```nohighlight Dear Mrs Smith, Yesterday, I was asked about your wellbeing, "Is there reason to worry about her?", and I told the person who asked that [...] ```
**Addressing multiple persons**: * Template: ```nohighlight Dear {seller* Mr_s Doe}, According to our guidelines, the issue with {reseller* Mr_s Doe} is best resolved if {reseller*they} publically apologizes to {buyer* Mr_s Doe} for {reseller*their} behavior. Best regards, {customer_support* Jean Doe} ``` * Pronoun Data: ```json { "seller": { "address": "Mrs", "name": "Brown" }, "reseller": { "address": "Mr", "name": "Jones", "subject": "he", "dpossessive": "his" }, "buyer": { "address": "Mx", "name": "Ainge" }, "customer_support": { "first-name": "Emma", "name": "Ackernick" } } ``` Note that all these attributes can take any value; not only "Mr" and "Mrs" is valid! ```nohighlight Dear Mrs Brown, According to our guidelines, the issue with Mr Jones is best resolved if he publically apologizes to Mx Ainge for his behavior. Best regards, Emma Ackernick ```
**gender*render doesn't get into your way, since you can fuse any sequence of tags into one tag**: * Template: ```nohighlight "{Mr_s} {Doe}" equals "{Mr_s Doe}". ``` * Pronoun Data: ```json { "address": "Ind.", "name": "Abrams" } ``` ```nohighlight "Ind. Abrams" equals "Ind. Adams" ```
**Address individuals who don't want to get a special title**: * Template: ```nohighlight Dear {Mr_s Doe}, [...] ``` * Pronoun Data: ```json { "gender-addressing": "false", "name": "Chase", "first-name": "Joey" } ``` ```nohighlight Dear Joey Chase, [...] ```
**Refer to individuals with hyponyms for person or by their profession**: * Template: ```nohighlight I hope the {actor} is doing well. ``` * Pronoun Data: ```json { "gender-nouns": "female" } ``` Available values are "male", "female" and "neutral". ```nohighlight I hope the actress is doing well. ``` Note that this also works for words that start with capital letters - "Actor" would've been gendered as "Actress"!
***Every* gendered noun has a neutral version available**: * Template: ```nohighlight As a {salesman}, {they} had to face great hardships! ``` * Pronoun Data: ```json { "subject": "they", "gender-nouns": "neutral" } ``` "neutral" is also the default value. ```nohighlight As a salesperson, they had to face great hardships! ```
**If a noun has no explicit specific version for a grammatical gender, the neutral version of the noun is used**: * Template: ```nohighlight Since tuesday, {they} serve as a {cadet}. ``` * Pronoun Data: ```json { "subject": "they", "gender-nouns": "female" } ``` ```nohighlight Since tuesday, they serve as a cadet. ```
**Define your own properties**: * Template: ```nohighlight After {they} ate {their} {} like any other {child}, {they} slept. ``` * Pronoun Data: ```json { "subject": "ze", "dpossessive": "zen", "": "spaghetti" } ``` ```noheighlight After ze ate zen spaghetti like any other child, ze slept. ```

Download Specifications & Changelog

gender*render follows a strict set of easily implementable specifications. The implementations explain in-depth which design decision was taken why and how gender*render works exactly, but also define guidelines for re-implementing gender*render for different programming- and well as natural languages, and contain various findings and ideas/ concepts on how to deal with various aspects of grammatical gender and automated gendering in a technical context, some of whom might help you in writing related or similar tools.

There is one main specification ("spec"), as well as several extensions specifications ("ext-..."). To get started, you can download the main specification, which dives further into the versioning scheme of gender*render specifications, their vision and development model, or download any specification in any version from the following list.

Clicking a version number downloads the specification as a pdf file, whilst the [htmlā†—]-link next to every specification version leads to a hosted html version of the specification.

GitHub badges

Implementation

attribute value
PyPi PyPI download total PyPI version PyPI pyversions
license implementation license
maintenance Average time to resolve an issue Percentage of issues still open
tests codecov vulture
documentation here
build build

Specification

attribute value
license implementation license
download latest dowload
other downloads here

Mission Statement šŸ“•

gender*render (as a project) is motivated by a column of three numerated goals and visions, that it is committed to and that define its vision:

  1. enable people and corporations to use fully gender-inclusive language in auto-generated texts, be it in an email, notification or computer game (that's what the implementation is for).
  2. proof that gender-inclusive language in tech and even auto-generated by an algorithm is very well possible (by providing a specification system for this and related subjects).
  3. (passively) raise awareness to the necessity and practicability of gender-inclusive language and specifically the use and acceptance of gender-inclusive language systems in tech and algorithms (by providing 1 & 2).

These three missions are listed in ascending order of importance (3 is the end goal or the bigger picture, whilst 1 and 2 are the means), as well as vaguely descending order according to how active the project pursues them (3 is pursued purely passively by simply providing 1 and 2, yet serves as their motivation).

In addition to being devoted to its mission, gender*render is dedicated to the ideals of its code of conduct.

License

Specification and implementation are licensed separately. For the specification, see here (OWFa 1.0). For the implementation, see here (MIT).

For the data sets (e.g. of gendered nouns) that gender*render uses, refer to the individual licenses included in the files in the src/data directory in the TAR-ball from PyPi; these data sets are all licensed under permissive licenses, but might require different forms of attributions to different people in case you want to modify or redistribute them.

Development & Contributing

Questions, suggestions and issues as well as pre-discussed pull requests are welcome. See here for additional information.

Code of Conduct

In general, be decent and don't put shame on the 21st century. See here for additional information.