Bibliographic record
Abstract
January 01 2018 Imagined Theatres: Writing for a Theoretical Stage Imagined Theatres: Writing for a Theoretical Stage, edited by DanielSack. London and New York: Routledge, 2017. Melanie Bennett Melanie Bennett Melanie Bennett is a performance artist and PhD candidate in theatre and performance studies at York University. She is currently working on her dissertation, entitled A Dramaturgy of Failure in Canadiana. Search for other works by this author on: This Site Google Scholar Author and Article Information Melanie Bennett Melanie Bennett is a performance artist and PhD candidate in theatre and performance studies at York University. She is currently working on her dissertation, entitled A Dramaturgy of Failure in Canadiana. Online Issn: 1537-9477 Print Issn: 1520-281X © 2018 Performing Arts Journal, Inc.2018Performing Arts Journal, Inc. PAJ: A Journal of Performance and Art (2018) 40 (1 (118)): 98–99. https://doi.org/10.1162/PAJJ_r_00399 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 Melanie Bennett; Imagined Theatres: Writing for a Theoretical Stage. PAJ: A Journal of Performance and Art 2018; 40 (1 (118)): 98–99. doi: https://doi.org/10.1162/PAJJ_r_00399 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. © 2018 Performing Arts Journal, Inc.2018Performing Arts Journal, Inc. 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 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".