Salt Fish and Molasses: Unsettling the Palate in the Spaces Between Two Continents
Bibliographic record
Abstract
Food stories play an integral role in the ways that we imagine ourselves, both intimately in the context of home and family, and politically, in the context of the nation-state. But while food is intricately woven into the politics of place, it also crosses boundaries, gaining new meanings in the process. In this paper, we consider the transnational food histories that link the geographically distant but colonially-linked regions of Newfoundland and Suriname. Our collaborative autoethnographic inquiry examines the role that salt fish and molasses have played in our respective bodily memories and experiences. Central to our inquiry is a single question: What happens when salt fish – Newfoundland’s greatest export product – meets molasses, the sticky treacly by-product of the colonial Caribbean’s sugar cane refining process; that is, what happens when our palates meet? Engaging a decolonial lens, our collaborative work suggests the necessity of moving beyond culinary nostalgia towards the complexity of an “unsettled palate” that acknowledges the legacies of our shared transnational histories and the ongoing effects of colonialism and slavery. In the process, we critically reflect upon the ways in which we are each implicated in these histories, albeit in different ways. This article was submitted to the European Journal of Life Writing on March 3rd 2017 and published on October 17th 2017.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.040 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".