Gender Differences on the Identity Status of the Malaysian Preparatory Students DIFFERENCES ENTRE LES SEXES SUR LE STATUT D'IDENTITE DES ETUDIANTS MALAISIENS DANS LES PROGRAMMES PREPARATOIRES
Bibliographic record
Abstract
The number of students who wishes to change their major is increasing everyday. There are quite a number of students who are still unsure about their future plans even though they have enrolled in a university program. A reason may be that the students are still in conflict about their own identity. Students who are doing their preparatory program should already develop their own identity, which is identity achievement. A survey aimed to study gender differences on the identity status among the preparatory students was conducted. A questionnaire regarding the students' identity status was used to collect the data. A Likert scale with a four point system was used to measure responses on the questionnaire which consisted of the students' view of their own choice of major, friendship, recreational activities, dating style and political believes. The findings of this study are important to the lecturers teaching the preparatory programs so that they are aware of their students' sense of identity as well
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 0.001 |
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".