Bibliographic record
Abstract
Identity crisis can happen to all people that do not have deep knowledge about their own identity especially in the society. Identity crisis that I want to discuss is based from the novel Obasan by Joy Kogawa. I want to know how Naomi as the main character experiences the identity crisis and how she overcomes it. My purpose in this study is to find out the ways Naomi experiences identity crisis and the ways she overcomes it. This study uses library research to find sources about identity crisis. I also use literary approach to get deeper analysis in the study. I use literary tools such as conflict and characterization. I also use concept of identity as the supporting theory to show Naomi?s ways in overcoming her identity crisis. Naomi experiences identity crisis because of the treatment from the Canadian toward her. The derogatory address and the isolation make Naomi experience identity crisis and denying her identity as Canadian. She can overcome her identity crisis when she realizes her own identity from a Canadian man and forgiving the society that make her hurt. Finally, identity is very important in life. From the study of the identity crisis, I can know that by knowing my identity in the society, I can function well in my society.
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 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 | 0.000 | 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 | 0.000 | 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".