Relationship between BAN and Inclusion
The connection between banning people who troll the Community and "leaving no one behind".
o3.icon
Arrangement of purpose
No one is left behind" (a value embodied in the SDGs) aims for a state of safety and opportunity for people of diverse backgrounds.
Ban (exclusion) is the final enforcement action taken by a community against an act that seriously violates the rights or safety of others.
Although the two appear to be at odds with each other, in practice they are on the same footing and work complementary to each other as means of protecting "inclusion.
Community "fundamental rights" and hierarchies
table:_
Level Objective Typical measures
Safety & Dignity Protect everyone from harassment and violence Moderation, ban, emergency stop
Visibility/voice Equal opportunity to speak Thread separation, translation/accessibility
Growth and learning Understanding rules and improving skills Onboarding and mentoring
If the top level, "safety and dignity," is breached, the lower levels cannot function.
Thus, a sequential relationship arises: in order to "leave no one behind," it is first necessary to restrict behaviors that threaten safety.
No one is left behind" does not mean "allowing anything" but "including everyone within a framework that protects their safety and dignity.
Prompt isolation and care is the prerequisite for inclusion. The hierarchy is clearly stated that the protection of the victim should take precedence over the protection of the perpetrator.
nishio.icon
Ideally, o3 says, it would be better to listen to and educate the person with problematic behavior without taking the time to argue with him or her, but realistically, it's not a good objective to devote resources to that person, is it?
This is the difference between a place where people just exist and an organization that achieves its goals
When a place isn't created for the purpose of inclusion, it's normal to ban people who are negative to achieve the goal.
---
This page is auto-translated from /nishio/BANと包摂の関係 using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I'm very happy to spread my thought to non-Japanese readers.