Bibliographic record
Abstract
An evaluation metric comprising a battery of five-test criteria other than the standard Centering of “salience” and “cohesion” and Kibble’s version of “cohesion”, “salience”, “cheapness” and “no backward-looking center” is developed in this paper to involve “coherence”, “salience”, “cheapness”, “cohesion” and “no backward-looking center” in measuring the degree of coherence of different transition sequences in stream-of-consciousness (SOC) discourse on the premise of the distinction between coherence and cohesion. The addition of “coherence” and the distinction between lexical cohesion and cognitive and/or pragmatic coherence are crucial to the characterization of coherence in stream-of-consciousness discourse, which the Rule 2 of standard Centering cannot adequately capture. Cohesion mainly dwells upon semantic relatedness between two backward-looking centers, which can be resolved in frame semantics. Coherence cares more about relatedness between two backward-looking centers motivated by cognitive and/or pragmatic factors. In other words, two backward-looking centers may be semantically unrelated, but they strike up a relation with each other either temporarily or permanently due to cognitive and/or pragmatic factors.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".