TEXT Reviews April 2020
Bibliographic record
Abstract
Janelle Adsit (ed), Critical Creative Writing: Essential Readings on the Writer’s Craft review by Rachel Hennessy Maryanne Wolf, Reader, Come Home: The Reading Brain in a Digital World review by JF Vernay Ann M McCulloch and RA Goodrich (eds), Why Do Things Break? review by Nataša Kampmark Helen Garner, Yellow Notebook: Diaries volume 1 1978-1987 review by Moya Costello Andrew McGahan, The Rich Man’s House review by Nataša Kampmark Eugen Bacon, Claiming T-Mo review by Bronwyn Lovell Philip Salom, The Returns review by HC Gildfind Barrie Sherwood, The Angel Tiger and Other Stories review by Ashley Brown Kathleen Mary Fallon, A fixed place: the long and short of story review by Alex Henderson Colin Rogers, From the Mallee: Five Stories review by Christopher Gist Rachel Mann, A Kingdom of Love and Marjon Mossammaparast, That Sight review by Madhupriya Roy Chowdhury Christina Houen, This Place You Know review by Zinia Mitra Mary Pomfret, The Hard Seed review by Deb Stewart Owen Bullock, Summer Haiku review by Jayne Linke and Amelia Walker Glen Phillips, In the Hollow of the Land: Collected Poems 1968-2018 review by Tony Hughes-d’Aeth Charmaine Papertalk Green, Nganajungu Yagu review by Amelia Walker
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.596 | 0.690 |
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".