A nurse in New York has a new patient who is transitioning from male to female. They’ve never met someone who is transgender. On their first appointment she has mentioned the word abnormal and completely turned the patient off to medical expertise. She wants to understand what she did wrong but simple terms in a dictionary weren’t helping her understand a better way to approach a transgender client.
She instead decided to search an interactive dictionary to find not only what words about transgender people mean, but related terms, how offensive it might be and what context it should be used in. She found LGBTQLexicon and saw that in the shortcuts; “Transgender” was listed. After clicking she found MTF, FTM, two-spirit, transition, sex reassignment surgery, intersex, etc. She then went back to the homepage by clicking the search button on the bottom right. She wanted to search the word normal. She found that using the word abnormality is not only medically incorrect but it’s harmful to her clients.
She most likely wouldn’t tweet her newfound knowledge since she has went about educating herself in the privacy of her computer/phone. The option will be there if she wants to tweet the definition and she can also share via email or export the definition to her computer.
It would be ideal if she were to see a scale of how offensive specific words are however I’m not sure how this can be developed based on opinion.
This is great. To prepare for the content, could you start a spreadsheet that organizes the terms? This will help us to see all data in the same place (thus making it easier to parse/structure on the page later.) The table below is an example from what I read. A few notes:
idandrelated_idis important. For the time being, I'm grouping all related id with the same starting number (eg. Allqueer-related terms will be1xxx; all transgender will be2xxx).1000to5000and their related terms ranging from1001,1002,...to5001,5002,...