Genre Analysis: Studying Authorial Stance in the Pakistani Research Articles of Business and Management Sciences
Bibliographic record
Abstract
The notion of authorial stance has received much attention internationally in recent years which has increased its complexity in terms of its relationship with genre-pedagogy and genre-awareness. Metadiscourse markers are used by academic writers in order to build and maintain relationship with their readers. This is done by use of appropriate language either to influence them or show a certain degree of agreement or disagreement. The present study investigated the stance features as they appeared in the genre of research article introduction section written by seasoned authors. 50 papers from the field of Business and Management Sciences were studied in order to explore the language features projecting authorial stance or author’s voice used by authors. Hyland’s (2005b) Model of Academic Interaction was used to study the authorial stance. The findings showed that the authors used a considerable degree of stance features in their research articles. The study may provide some useful insights regarding teaching the writing of research article, understanding the concepts of genre-competence and genre-production.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| 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) | 0.000 | 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".