Linguistic Choices in Hamid’s Moth Smoke: A Transitivity Analysis
Bibliographic record
Abstract
The present study is aimed at an investigation of how meanings are construed in a literary text. The main theoretical framework employed for the data analysis was transitivity, which finds its roots in Halliday’s (1994) Systemic Functional Grammar. 21 texts from Hamid’s novel, Moth Smoke (MS) were selected as data. A sample size of 1100 complex clause sentences containing different processes, participants and circumstances was drawn for analysis. The focus of the study was the identification of transitivity patterns associated with the main characters of the novel following Simpson (2004) who viewed it “useful indicator of character in prose fiction” (p. 119). The findings of transitivity constructions showed that all types of processes were found in MS. Based on the rank of frequency, material processes were computed the most frequent processes. They did have frequency of occurrence as (1076=51.45%). The projection of mental processes was (13.91%) in the second position. The verbal processes were (11.23%), relational processes (19.75%) while the lowest projection was found in behavioural (2.63%) and existential (0.86%) processes. Male characters were ascribed with more material and verbal processes while females were drawn as having mental and attributive process clauses. The current study concluded that transitivity options can function as a useful analytical tool in the analysis of a literary text.
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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 | 0.001 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".