Necessarily a narrator or narrator if necessary: A short note on a long subject words
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract For (at least) literary narratives I propose to understand “narrator” as follows: An inner-textual speech position from which the current narrative discourse as a whole originates, and from which references to the entities, actions and events that this discourse is about are being made. Through a dual process of metonymic transfer and anthropomorphisation the term “narrator” is then employed to designate a presumed occupant of this position, the hypothesized producer of the current discourse. A narrator is a linguistically indicated, textually projected and readerly identified position whose occupant needs to be thought of primarily in terms of a communicative role, distinct from any actualworld flesh-and-blood (or computer) producer of the text. The paper describes in brief eight different kinds of general considerations (linguistic, philosophical, methodological and general literary-theoretical) which can motivate a narratologist to judge the narrator category/instance as an indispensable or as a merely optional element of his general model of literary narrative. The article concludes with two recent theoretical moves which tend to circumvent the need for such a choice by either re-drawing the narratologist's domain of objects or by redefining the status of the narrator category itself.
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.
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) | 0.001 | 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) | 0.004 | 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 it