Writing the hyphen : Migratory patterns : a work of fiction, and, “Nothing stands by itself”: code-switching in Americanah \nand Tropical Fish: a critical analysis
Bibliographic record
Abstract
The concept of hyphenated identities will not be a new one to most — in today’s world personal descriptors such as “Bangladeshi-American” or “French-Canadian” have become a fairly common component of the current lexicon. Indeed, this portrayal of a compound ethnicity, first introduced as a derogatory description in America in the 1890s, (Higham, 1955) has become so common that the phrase “living in the hyphen” is now frequently used to describe the experience of occupying the interstitial space that is both between and encompassing different cultural identities (Nunan & Choi). This thesis examines the idea of hyphenated identity in two modes. The first is a creative work of experimental fiction that uses a series of vignettes similar in structure to short stories to examine the life of an American girl growing up in Malawi. The second component is a critical study that investigates the function of code-switching in two works of contemporary fictions where the characters are multilingual. In this way, this project aims to be both an example and an examination of the ways in which modern authors are portraying the experience of occupying and expressing multiple identities — the ways in which they are, in other words, “Writing the Hyphen”.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.054 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".