World-building as cognitive feedback loop
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 Text World Theory ( Gavins 2007 ; Werth 1999 ) has traditionally assumed a unidirectional model of knowledge transmission from discourse-world to text-world. In this chapter I follow Troscianko (2017) to suggest that world-building in discourse occurs within a cognitive feedback loop in which existing knowledge is applied toward the construction of a text-world network, and new information feeds from this network back into the minds of readers. In what follows, I demonstrate the utility of a feedback-loop approach in accounting for knowledge accrual in discourse through a case-study analysis of Canadian author Sheldon Currie’s (1995) novella The Glace Bay Miners’ Museum . I argue that Currie’s rhetorical positioning of the reader as the recipient of a highly politicised subtext at two levels of the discourse results in the incorporation of new or modified knowledge into a reader’s knowledge base.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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