Bibliographic record
Abstract
I would have registered the presence of Syd Harrex in my undergraduate years at Flinders University as an amiable, somewhat shambling chap with the ability to talk about poetry in a quietly enthusiastic and not at all esoteric manner. Later, as I became caught up in the thrills of being at the cutting edge of things by studying Australian and then Commonwealth writing, I would experience Syd’ s good humour and his ability to prod things along genially without entering into the rancour and polemic of academic change. On the basis of his personality and his generoushospitality, both at home and at work, Syd built up a close circle ofcommitted scholars and friends, a journal reviewing literature from across the globe, many conferences, and worked with the Adelaide Festival of Arts andhis own Centre for Research in the New Literatures in English to turn a small faculty a long way from metropolitan bustle into a lively centre of constant visits by writers and critics from India, Africa, the West Indies, Canada, South East Asia and beyond. It was probably New Zealand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".