The Construction of Collective Identity in Malaysian ESL Secondary Classrooms
Bibliographic record
Abstract
This study seeks to identify the construction of collective identity in ESL classroom among students in a secondary school in Selangor, Malaysia. Identity construction can be helpful in supporting students academically and socially, especially in the English language classrooms. Being non-native speakers, students may have the tendency to feel isolated because of the limited knowledge in English. A qualitative investigation was employed and the samples comprised of 12 secondary students from Sekolah Menengah Kebangsaan Jeram, Kuala Selangor. In-depth interviews were carried out with the respondents.The results revealed that when constructing their personal identities, individuals may want to identify themselves with the mutual interest of the groups they are part of. Identifying oneself with a group not only means wanting to be accepted, but also adhering to having mutual identities and values of the group. Therefore, the current study seems to confirm the finding of previous studies where researchers stated that the identity of an individual is defined by its majority group with whom the individuals share the physical environment and the territory they inhabit.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".