The Effect of Diversity Climate Perception on Alienation of Students to University
Bibliographic record
Abstract
The aim of this research is to examine the effect of diversity climate perception on alienation of students to university. The research was carried out with relational survey model. 333 undergraduate students in Faculty of Education, Medical, and Faculty of Theology of Dicle University constituted the participant group. Research data were collected in Turkey with ‘diversity climate’ and ‘alienation’ scales. Data were analyzed by setting up structural equation modeling. It has been seen that goodness of fit indexes of set model are among the range standard value (ϰ 2 =470,233; df= 205; p=.000; ϰ 2 /df=2,29). In the research, it has been determined that diversity climate perception has affected the alienation of university students negatively and significantly. It was also confirmed that diversity climate perception can be a basis for alienation of students to their university by a significant level. In accordance with these results, it can be concluded that in order to minimize alienation of undergraduates to their university, management bodies of universities can be advised to perform a more tolerant approach to the diversities of their students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".