1978: Transgenderal = Full-Time, Non-Op
Archives of SexualBehavior, VoL 7, No. 4, 1978 Open Forum John Money, Ph.D., Moderator The Johns Hopkins University, Schoo] of Medicine Baltimore, Maryland 21205 Before becoming involved in the sex role area, I was a linguist. I would like to share three comments on methodology in regard to the whole question of gender and sex. One of the first things that you learn when you enter the gay world is that we have more vocabulary for gender than the straight world has. There is a psycholinguistic principle that says cultures invent a vocabulary to deal with the phenomena that are important to them. It seems to me that you make the assumption that you know what male and female are, and you will never look at that assumption. In dealing with gay people and getting gayness associated with a medical model and psychological problems, you set back the civil liberties
The Source Summary reproduces the first 150 words of the source article unless a Collective editor has explicitly locked a replacement.
Why this article may matter
Community significance
“1978: Transgenderal = Full-Time, Non-Op” may matter to community readers because it preserves a first-person or testimonial account connected to healthcare and medicine, while also engaging transgender identity and history. Such accounts can document how an issue was understood and experienced from within the period or community being discussed.
Historical significance
As a publication record from 2012 at Cristan’s Research, “1978: Transgenderal = Full-Time, Non-Op” provides dated evidence of how healthcare and medicine was being argued in relation to transgender identity and history. Comparing it with earlier and later records can reveal changes in vocabulary, evidence, and emphasis.
Policy significance
“1978: Transgenderal = Full-Time, Non-Op” discusses institutions, law, or governance in connection with healthcare and medicine. Even without a dominant policy classification, the article may help researchers identify practical consequences for transgender identity and history.
Ranked themes and framings
Rank 1 is the dominant inferred theme or framing. Parent labels identify broader theme families; the relationship key beneath the diagram explains the line styles used for hierarchy, same-family relationships, overlap, and separate-but-related themes.
Themes
- 1Healthcare and medicineTheme family: Institutions, law, and public life100%
- 2Transgender identity and historyTheme family: Identity, culture, and community47%
- 3Science, evidence, and expertiseTheme family: Knowledge, history, and communication42%
- 4Sex and gender classificationTheme family: Power, ideology, and social conflict21%
- 5Community and organizingTheme family: Identity, culture, and community21%
Academic framing
- 1100%
- 292%
Editorial function
Source topics
- Separate but related themes
These classifications are inferred from article text and source metadata and remain directly editable. Relationship labels express corpus-analysis judgments, not immutable facts.
How “Healthcare and medicine” appears across the Collective corpus
This article appeared 1 year(s) before the theme reached its highest annual presence in the registered corpus in 2013.
Relative presence by year
Peak year indexed to 100Presence by member publication
Frequently co-occurring concepts
Academic framings in this topic
Policy framings in this topic
Values measure relative presence in the registered Collective corpus, not public search interest or public opinion.
Documented circulation and reception
1 source-held reference records an early link or citation; the documented sources span 1 domain. These observations describe circulation and reuse; they do not assign cultural worth or evaluate the communities, arguments, or people discussed.
Evidence by channel
Independent counts; bars are not additiveCoverage of the evidence search
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Counts describe documented circulation and reception in the sources currently available to the Collective. They are not a score of quality, merit, popularity, or social value, and provider totals can overlap.
Author profiles and related researchers
Related authors in the Collective corpus
Related authors are calculated from co-authorship, shared themes and framings, and citation relationships in the registered corpus. This does not imply a personal or institutional association.
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