Bibliographic record
Abstract
January 01 2020 Between Lake Charles and Lake William Barbara Lounder, Barbara Lounder Barbara Lounder is an artist who uses walking as a creative method. She has presented her work across Canada and in the UK, U.S., Poland, New Zealand, Germany and Bulgaria. She has participated in artists' residencies at the Banff Centre for the Arts and Open Studio Printmaking in Toronto. Search for other works by this author on: This Site Google Scholar Robert Bean Robert Bean Robert Bean is an artist who writes on art and cultural history. Bean's artwork is in the collections of the National Gallery of Canada, the Canada Council Art Bank, the Art Gallery of Nova Scotia, ZKM in Karlsruhe, Germany, and the Donovan Collection, University of Toronto. Search for other works by this author on: This Site Google Scholar Author and Article Information Barbara Lounder Barbara Lounder is an artist who uses walking as a creative method. She has presented her work across Canada and in the UK, U.S., Poland, New Zealand, Germany and Bulgaria. She has participated in artists' residencies at the Banff Centre for the Arts and Open Studio Printmaking in Toronto. Robert Bean Robert Bean is an artist who writes on art and cultural history. Bean's artwork is in the collections of the National Gallery of Canada, the Canada Council Art Bank, the Art Gallery of Nova Scotia, ZKM in Karlsruhe, Germany, and the Donovan Collection, University of Toronto. Online Issn: 1537-9477 Print Issn: 1520-281X © 2020 Barbara Lounder and Robert Bean2020Barbara Lounder and Robert Bean PAJ: A Journal of Performance and Art (2020) 42 (1 (124)): 20–23. https://doi.org/10.1162/pajj_a_00500 Cite Icon Cite Permissions Share Icon Share MailTo Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Barbara Lounder, Robert Bean; Between Lake Charles and Lake William. PAJ: A Journal of Performance and Art 2020; 42 (1 (124)): 20–23. doi: https://doi.org/10.1162/pajj_a_00500 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 JournalsPAJ: A Journal of Performance and Art Search Advanced Search This content is only available as a PDF. © 2020 Barbara Lounder and Robert Bean2020Barbara Lounder and Robert Bean 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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.452 | 0.127 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".