A Diachronic Approach to the Motive of Crypto-Functions of Formal Markers in English
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Bibliographic record
Abstract
<p>This paper, based on the exploration of crypto-functions of formal markers in English (Dong, 2016), preliminarily attempts to explicate the motive of their crypto-functions in systemic functional framework through a diachronic approach. The study firstly claims that formal markers can be treated as one of multiple linguistic expressions deployed for constructing the experiential phenomenon. Then the study assumes that the motive of crypto-functions of formal markers can be revealed from the diachronic conventionalization of multiple linguistic expressions towards formal markers in their process of experience construction. And such an assumption has then been tested with the distribution frequencies of formal markers in Corpus of Historical American English (COHA). It is found that, with the diachronic increase of the distribution frequencies of formal markers in COHA, the diachronic conventionalization of multiple linguistic expressions towards formal markers does exist, and that such a conventionalization is then attributed to language chunk composed of formal markers together with other following elements and renders formal markers prefabricate potential, thus resulting in their crypto-functions. </p>
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it