Super Tagging in the Development of Sexual Nomenclature and Social Organization Online. Advances In Classification Research Online
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, I describe the ways in which interventionist forms of tagging, such as super tagging, guerilla tagging, and tag bombing within Xtube, a database of sexual representation, reveal complex social and cultural structures among members of sexual subcultures and point to the particularlity of various modes of sexual being and the relationship between those modes and particular configurations of sexual identity. Individuals who participate in super tagging do not necessarily exert significant influence over information retrieval results within a database. Instead, in Xtube, members create alternative, activist, and interventionist forms of tags for personal and social purposes. Particularly for individuals who experience non-normative desire, such tagging practices provide a means for describing and structuring feelings of difference into coherent identities and particular social forms for socio-sexual engagement and selfexploration and understanding.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it