Bibliographic record
Abstract
Research Article| August 01 2021 This Is My Body Jane Campbell Jane Campbell Jane Campbell has an MFA from the University of British Columbia. Her work has appeared in publications including Hazlitt, EVENT, Show Me All Your Scars: True Stories of Living with Mental Illness (In Fact Books), and Best Canadian Essays 2017 (Tightrope Books). Search for other works by this author on: This Site Google Fourth Genre: Explorations in Nonfiction (2021) 23 (2): 77–86. https://doi.org/10.14321/fourthgenre.23.2.0077 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Permissions Cite Icon Cite Search Site Citation Jane Campbell; This Is My Body. Fourth Genre: Explorations in Nonfiction 1 August 2021; 23 (2): 77–86. doi: https://doi.org/10.14321/fourthgenre.23.2.0077 Download citation file: 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 Scholarly Publishing CollectiveMichigan State University PressFourth Genre: Explorations in Nonfiction Search Advanced Search The text of this article is only available as a PDF. © Michigan State University Board of Trustees Article PDF first page preview Close Modal You do not currently have access to this content.
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.709 | 0.607 |
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".