Bibliographic record
Abstract
Much recent literature has focused on whether the verbal agreement morphology cross-referencing objects is true φ-agreement or clitic doubling. I address this question on the basis of comparative data from related Inuit languages, Inuktitut and Kalaallisut (West Greenlandic), and argue that both possibilities are attested in Inuit. Evidence for this claim comes from diverging syntactic and semantic properties of the object DPs encoded by this cross-referencing morphology. I demonstrate that object DPs in Inuktitut display various properties mirroring the behavior of clitic-doubled objects crosslinguistically, while their counterparts in Kalaallisut display none of these properties, indicating genuine φ-agreement rather than clitic doubling. Crucially, this distinction cannot be detected morphologically, as the relevant cross-referencing morphemes are uniform across Inuit. Therefore, this article cautions against the reliability of canonical morphological diagnostics for (agreement) affixes vs. clitics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".