Bibliographic record
Abstract
There were two men in my father’s chair . ( Coasting , Jonathan Raban) The preceding chapters have outlined ways in which narrative viewpoint is construed and linguistically expressed at the level of major narrative spaces of a story. However, viewpoint phenomena of more partial nature pervade narrative discourse at every level. There are several terminological issues which require clarification at this point. ‘Viewpoint’ and ‘perspective’ are the broadest terms in use, with respect to both macro-level phenomena (such as narratorship, temporal and spatial anchoring of the narrative, et cetera) and micro-level phenomena, which are often talked about in terms of Genette’s () concept of ‘focalization,’ or ‘who sees.’ Much of this terminology evokes visual access to situations, though the nature of focalization may include other ways in which the narrative is aligned with a fictional subjectivity, whether of a narrator or of a character. To avoid the visual implications, Toolan () proposes to talk about ‘orientation’ instead, which in turn evokes spatial configuration of some kind. All three terms, ‘focalization,’ ‘orientation,’ and ‘viewpoint,’ in fact cover a broad range of phenomena having to do with the specific use of narrative space topology – temporal, spatial, perceptual, and the like.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".