Quarter Life Crisis and Self-Awareness of Biology Education Students at Universitas Riau in Completing their Final Assignment
Bibliographic record
Abstract
The student's final assignment is proof of the success of the process of achieving academic achievement. However, in the completion process, students often experience various obstacles both from within and outside themselves. These obstacles cause students to experience Quarter Life Crisis (QLC). Self-awareness can help them understand themselves completely, both in terms of nature, character and emotions so they are able to face QLC. This research aims to find out how much influence self-awareness has on QLC experienced by Biology Education students at FKIP (Faculty of Education and Teacher Traning), Universitas Riau. To achieve this goal, descriptive research was carried out using a survey method. The results of the research show that the self-awareness and QLC level of Biology Education students at FKIP Universitas Riau are both classified as medium. The level of self-awareness has a negative effect. These findings indicate that efforts are still needed to increase self-awareness of Biology Education students at FKIP Universitas Riau. This can be achieved by getting students into the habit of carrying out regular self-evaluations so that they can find out their strengths and weaknesses. If these efforts are achieved, students' QLC levels are expected to decrease.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".