What’s Love Got to Do With It? Lust in Architecture
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
November 01 2018 What’s Love Got to Do With It? Lust in Architecture Melissa Tapper Goldman Melissa Tapper Goldman Melissa Tapper Goldman is finishing her M.Arch at Columbia University. She is also the director of Subjectified, a feature documentary about young women’s experiences of sexuality around the U.S. www.subjectified.com Search for other works by this author on: This Site Google Scholar Author and Article Information Melissa Tapper Goldman Melissa Tapper Goldman is finishing her M.Arch at Columbia University. She is also the director of Subjectified, a feature documentary about young women’s experiences of sexuality around the U.S. www.subjectified.com Online Issn: 2572-7338 Print Issn: 1091-711X © 2010 Melissa Tapper Goldman2010Melissa Tapper Goldman Thresholds (2010) (37): 82–85. https://doi.org/10.1162/thld_a_00198 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Melissa Tapper Goldman; What’s Love Got to Do With It? Lust in Architecture. Thresholds 2010; (37): 82–85. doi: https://doi.org/10.1162/thld_a_00198 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThresholds Search Advanced Search This content is only available as a PDF. © 2010 Melissa Tapper Goldman2010Melissa Tapper Goldman Article PDF first page preview Close Modal You do not currently have access to this content.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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