Investigating Sentence Fragments in Comic Books: A Syntactic Perspective
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
This research is aimed to analyze sentence fragments in a comic. The main research questions raised in this paper are: What types of sentence fragments can be seen in comic Hunter X Hunter by Yoshihiro Togashi 1998? What factor types can be found in comic Hunter X Hunter by Yoshihiro Togashi 1998? The paper uses the qualitative method to conduct content and document analysis (Choy & Clark, 2010). The source of data was the comic entitled ‘Hunter X Hunter in which the researchers discovered six forms of Sentence Fragments after studying the data: fragments of adjective clause, adverbial clause, nominal clause, appositive, infinitive clauses, missing subject, participial, and prepositional phrase fragments. The information was gathered from 30 chapters of Yoshihiro's comic. There were 34 Sentence Fragments, 13 (38%) Dependent clause fragment, 21(62%) into-phrase fragment. There are 6 types of sentence Fragment factors that were investigated by Bashir (2016), but in this comic only 4 factors were found; namely, Omission of the Verb (50%), Subject (20%), and Object (10%), omission of both subject and verb (10%), and Appositive or list Fragments (10%).
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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 | 0.000 | 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) | 0.002 | 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 it