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Record W342208540

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

2010· article· fr· W342208540 on OpenAlexvenueno aff
Farhana Wan Yunus, Azlan Ahmad Kamal, Kamaruzaman Jusoff, Azyyati Zakaria

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Likert scalePsychologyFriendshipRecreationSocial psychologyDevelopmental psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0080.020
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.325
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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