Morphological and syntactic charakteristics of the expressions half and quarter
Bibliographic record
Abstract
1 Abstract This bachelor's thesis aims to provide a morphological and syntactical analysis of Czech expressions půl "a half"and čtvrt "a quarter". The first part deals with the description and characteristics of numerals in specialized literature, with focus on the explored expressions, and it then proceeds to define the research questions (e. g. to what extent are the forms frozen; forms of the noun denoting the counted object (JPP) etc.), which are then explored in the practical part, using corpus analysis. The data used in the analysis are taken from the SYN2015 corpus. The analysed sample contains 1 000 of the čtvrt lemmas and the same number of the půl lemmas. The analysis shows that the expressions resemble one another in several aspects: e. g. the low number of non-frozen forms (e. g. do půli stehna "halfway up/down the thigh"); JPP have mostly genitive form in direct cases (e. g. půl dne "a half of a day", čtvrt měsíce "a quarter of a month"); and in indirect cases, the form of JPP is mostly dependent on higher sentence structure (e. g. s půl dnem "with a half of a day", o čtvrt roce "about a quarter of a year"), and they have the same predicate agreement like the numerals of the pět "five" type (e. g. půl roku uplynulo "half a year passed", čtvrt koláče zbylo "a quarter of the pie is left"). But...
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".