man
Let an agent handle the category man respectfully, avoid stereotypes, and handle personal data about gender with care.
Bundle → Layer → Finding → Questions Filled
4 bundles · 8 layers · 8 findings · 16 questions
Category What the term covers.
Definition
Adult male human.
Definition
Scope.
- Is the term used for age, sex, gender or all three here? boundary
- How does the person identify? definition
Language
Respectful terms.
Language
Language choices.
- Is the language respectful and accurate? boundary
- Should neutral language be used instead? action
Health Men health.
Issues
Health topics.
Health issues
Health issues.
- Which health issues are particularly relevant, according to reliable sources? provenance
- Where can men get support? action
Mental health
Help-seeking.
Mental health
Support services.
- Which mental health services are available? action
- Is urgent help needed? boundary
Social Roles and statistics.
Statistics
Data by gender.
Statistics
Statistics.
- What do official statistics show, and how is gender defined in them? provenance
- How reliable are they? measurement
Stereotypes
Avoiding generalisation.
Stereotypes
Generalisations.
- Is a generalisation being made about men? boundary
- Is it supported by evidence? provenance
Data Gender data.
Collection
Need and basis.
Data basis
Lawful basis.
- Is collecting gender data necessary here? boundary
- On what lawful basis? provenance
Options
Inclusive options.
Options
Response options.
- Are inclusive response options provided? boundary
- Can people decline to answer? boundary
Classifiers Filled
- Family
- Thing Registry
- Category
- Society, people and institutions
- Entry kind
- thing
- Plane
- SOC
- Domain
- SOC.PER
- Other names and narrower kinds
- LGBTQ man, metrosexual, pantoffelheld, ex-husband, Mexican American men, African-American men, black men, Amerindian men, men of color, uncircumcised man, eighteen-year-old male, men in Japan
What it is Filled
An adult male human.
Why it exists Filled
Let an agent handle the category man respectfully, avoid stereotypes, and handle personal data about gender with care.
Distinguishing features Filled
- Adult, male, human
- Gender identity is self-identified
- Health and social statistics are often reported by sex or gender
- Stereotypes must be avoided
What robots and AI may and may not do Filled
Must not
- Judge an individual man by stereotypes about men.
- Infer a person's sex or gender from appearance or name and act on it.
- Dismiss men's experiences of abuse, illness or distress.
- Collect or disclose personal data about a man without consent.
Only with a human decision
- Recording sex or gender in an official record.
May
- Address and describe men respectfully, using the terms they use for themselves.
- Cite statistics about men with their sources.
Moral aspects Filled
- Gender norms shape health, risk-taking and help-seeking.
- Every person is owed dignity and privacy.
Who is affected
- Men and boys
- People misgendered by systems
Owners Filled
Steward
Nobody owns a person; each man is his own.
Links to other meta-models Filled
parent
- Q84048850 - registry parent class
- Q9584157 - registry parent class
related
- person - human
- male - biological sex
- health and social science - fields
- woman - category
What else AI and robots need to interact with it Filled
Identity and identifiers required Filled
- Vercy registry: vr.tr.man
- Wikidata: Q8441 (https://www.wikidata.org/wiki/Q8441)
Direct properties not applicable Not applicable
Not applicable
Plane SOC: no invented physical properties.
Recognition optional Filled
- Self-identification is the respectful basis
- Appearance and names are unreliable indicators
- Social categories in the registry aliases are separate topics
- Human appearance varies widely; appearance does not determine gender.
Capabilities and actions required Filled
- refer to people as men when they identify as such
- study health and social issues affecting men
- collect gender data, only with a lawful basis
- avoid stereotyping
Hazards and failure modes required Filled
- Stereotyping
- Misgendering people
- Collecting gender data without need
Standards and interfaces required Filled
- Equality and anti-discrimination law
- Data protection for sex and gender data
- Official statistics guidance on sex and gender questions
Context of use required Filled
- The entry for adult male humans as a category of person.
- by age: young, middle-aged, older men
- by social roles
- men in various communities
Sources Filled
- Wikidata item Q8441: man - identity and sense of the item
- Wikipedia: Man - general description of the item
Open questions
- How should gender categories be recorded respectfully?
- How should men-specific health information be linked?
- The registry entry has merged social category aliases; should they be split off?
Machine files
Provenance
thing registry research (pass 2) · unreviewed
Built from: models/things/publications/thing-q8441/spec.json