Bibliographic record
Abstract
Maria Campbell’s autobiography Halfbreed is a self-exploration of herself in the process of her survival pursuit. Her thirty three years of bitter experience with racism and poverty are the major content of her autobiography. Moreover, she has also recorded in the work the sense of alienation in her own land which mainly has made her to feel the traumatic painful experience. Hence, Identity crisis is seen as the major issue that steeps as a block for not only to herself but also to her community women fully towards overcoming their social barriers like poverty, sexism, and racism. Moreover, her self-exploration sets up an ideal to her community women to become stronger and self-reliant. Hence, the paper argues that how Campbell has created her own identity while experiencing problems and issues on her growing up with shameful identity and how she has become the solution to all the halfbreeds like her. The paper further studies that how Campbell has dealt with shame and humiliations which are the threat in achieving empowerment. The paper also analyzes the solution that Campbell has developed by herself despite her negative experiences, what she has learned from the negatives and how she has constructed her own identity which strengthens herself and her community 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.063 | 0.018 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".