Chatting On-line: An Assessment of Bilingualism and The Social Contexts of Language in Lebanon
Bibliographic record
Abstract
This study aims to explore the Lebanese sociolinguistics as manifested in chatting, that is, to assess how a sample of Lebanese students use their languages skills while carrying an on-line conversation via chatting. The research will also investigate the variations governed by sociolinguistics branding the Lebanese chatting community. To carry out this study, a mix approach of quantitative and qualitative methodology is used. Indeed, the research will describe the participants’ computer literacy and how this is interrelated to the choice of chatting language. The researcher uses two methods, formal interviews with selected chatters and a survey questionnaire that reflects both linguistic issues and computer and chatting literacy. Data analysis uses SPSS version 25 software and performed descriptively. Findings show that although having a multilingual society is considered a positive and uplifting certitude, this fact should not be taken for granted and languages must be directed properly. Students cannot be left without guidance to the use of any language.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".