Bibliographic record
Abstract
Migration is often a result of forced escape from political or social uprisings, subordination faced on different levels or a free will to explore a nomadic lifestyle. The consequences faced range from cultural shock and alienation to acclimatizing to a foreign world. The basic elements that seek drastic changes are the food practices and traditions. Food is an integral part of a culture which can vary from culture to culture in terms of the style of cooking to the types of food consumed. This leads to a formation of the Self and the Other which the migrants find strenuous to grapple with. The paper Re-constructing Food Identities in Min Jin Lee’s Pachinko intends to navigate the lives of select characters in the chosen novel, that have paved their way in life through hybridized societies and hegemonic identities, along food cultures. It will study the clashes, confrontations and negotiations that finally lead to acculturation. It will also explore hybridization of indigenous culinary practices which create dissimilar yet known traditions that become difficult to comprehend and follow. Min Jin Lee’s Pachinko depicts a re-construction of food identities in different generations of wars and colonial occupations.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".