External possessor constructions and Cree relational inflection compared
Bibliographic record
Abstract
Abstract This chapter presents the results of fieldwork and research on the relational inflection in Cree ( Cenerini 2014 ). This form is functionally and formally similar to External Possessor Constructions (EPCs) in Romance and Germanic languages: they both acknowledge participants who are not syntactically licensed by the verb, but that the Speaker perceives to be topical, or particularly affected by the action, and with which she/he empathises. However, unlike the EPC, the relational inflection is not restricted to cases of possession, and is limited only to third person referents. Also, rather than indirect object marking, the relational is realized as a verbal suffix. Finally, it will be argued that, as both constructions are motivated by pragmatic factors, Van de Velde’s (2013) representation of EPCs as Subacts at the Interpersonal Level can be extended to the relational inflection.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".