Infinitival and Gerund-Participial Catenative Complement Constructions in English World-Wide
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
Previous research on non-finite catenative complementation (for example, start Ving/to V; force NP into Ving/to V) has largely been restricted to BrE and/or AmE. The present study seeks to expand the regional coverage of such research by analysing a set of catenative constructions in two large web-derived corpora, GloWbE and NOW, both of which comprise 20 subcorpora representing different national varieties of English. The implications of the findings for such diachronically relevant phenomena as colloquialisation and grammaticalisation are considered. For example, the dominance of bare infinitivals over to infinitivals with catenative help is suggestive of auxiliarisation, an interpretation supported by the semantically bleached sense of generalised causation associated with help, and historical evidence of support for the bare-infinitival variant in colloquial registers. Notable findings include American English epicentrality—and possibly hypercentrality—in many of the results, with Canadian English and Philippine English in particular sharing the American aversion to from-less “prevent NP Ving” and “help to V”; the occasional conservative tendency of the Outer Circle varieties to resist diachronic trends associated with the reference varieties (such as the rise of “fear Ving” at the expense of “fear to V”); and high scores for the African Englishes, suggested to be attributable to the popularity of “serial verb” constructions in a number of African languages.
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 | 0.001 |
| 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) | 0.001 | 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