Bibliographic record
Abstract
In A Postcapitalist Politics (2006), J.K. Gibson-Graham deploy an image of a floating iceberg to illustrate what we commonly understand by “the economy.” In their reading of the diverse economy framework, the proverbial tip of the iceberg economy is comprised of “wage labor, market exchange of commodities, and capitalist enterprise” (2006: 70). By contrast, its submerged body can include a multiplicity of sites and actors such as producer cooperatives, bartering practices, and gifts. On the northernmost tip of Newfoundland, in the once-thriving fishing port of St. Anthony, icebergs are being harvested for bottling and sale in the global premium water market. At international trade fairs from Dubai to Shanghai, iceberg water is marketed as the purest water on the planet and a resource originating from a time before the dire effects of pollution and mass industrialization. This article traces the various encounters between icebergs and human actors in the geographical region known as “Iceberg Alley,” in order to assess the social, cultural, economic, and political stakes of these “new” natural resources. The article asks, “If Newfoundland’s Iceberg Alley is ‘the economy,’ what lies below its surface?”
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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".