Birdseye’s Frosted Possession: Processing, Storing, and Transmitting the Gift of Inuit Thermocultural Knowledge,
Bibliographic record
Abstract
On August 12, 1930, Clarence Birdseye patented his “Method of Preparing Food Products,” a “quick” freezing machine that “for the first time produced ... a compacted, quick frozen block of comestibles ... which can be stored ... transported ... and ... after being thawed, reassumes its original condition.” Birdseye’s innovation in the frozen food industry is typically historicized as a progress narrative, wherein the lone inventor masters the molecular forces of water, salts, metal, cardboard, flesh, and plant matter. This teleology is further contextualized within an exploration account, wherein Birdseye’s curiosity is piqued during his years as a fur trader who observes the Labrador Inuit practice of quick-freezing fish. In this article, I use Goenpul scholar Aileen Moreton-Robinson’s concept of “white possessive logics” to interrogate how Birdseye’s racialized assumption of ownership dislocated Inuit epistemologies into industrial metanarratives. To trace the possession, but also the survivance, of Labrador Inuit thermoculture, I reconsider frozen food as a communication system, characterized by dynamics of processing, storage, and transmission. Within this system, food is thinkable as data—information and gift—and frozen food is understandable as an Inuit gift of knowledge and sustenance provided to, and unreciprocated by, Birdseye. Comparatively reading Birdseye’s papers and patents with ethnographical and autobiographical Labrador Inuit and Inuit-Metis narratives, I rethink the historic event of knowledge-sharing that gave Birdseye his thermocultural inspiration. Furthermore, I consider how Labrador Inuit communities reappropriate the mechanical freezer as a traditional technology, and I argue that the globalization of frozen food technology poses an ongoing challenge of reciprocity for Birdseye’s white possession.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".