Sociolinguistic Influence in the Use of English as a Second Language (ESL) Classroom: Seeing from Onovughe's (2012) Perspective
Bibliographic record
Abstract
This paper aims to provide a brief overview and review of the research conducted by Onovughe (2012) under the title Sociolinguistic Input and English as Second Language Classrooms published by the Canadian Center for Science and Education. This article also intended to provide a brief review of the sociolinguistic influences of the use of the second most significant language in the class. Using qualitative descriptive analysis, this study managed to see that OGO’s research used survey within a population of all middle school students in the Akure Ondo Regional Government, Nigeria (n = 240 students). Of the five existing hypotheses, the findings revealed that parents’ occupation is a significant sociolinguistic influence on the use of English among middle school students, followed by gender, age, religion, and classes. This current paper evaluated how Onovughe’s research is represented in his article. Results reveal the strengeths, weaknesses, and the flaws of the article.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".