Liquid Gold: Tapping into the Power Dynamics of Maple Syrup Supply Chains
Bibliographic record
Abstract
In 2012, the Global Strategic Maple Syrup Reserve in Québec was the site of a major food crime, as thieves siphoned off 9600 barrels (3,000 tonnes) of ‘liquid gold’ for counterfeit sale across provincial and state borders, in what became known as the Great Maple Syrup Heist. The heist has been characterized as a rebellious response to the quota controls established by the Federation of Québec Maple Syrup Producers which has, since 1990, agreed with its members to hand over any surplus to ensure stability of supply and pricing. Although the iconography and imagery of the story of maple syrup production still heavily draws upon a nostalgic era of the small farm producer, these events suggest a powerful group which, in the wake of the heist, was branded by some rogue producers as a maple syrup ’cartel’, even though the reserve was decided by the collective membership. Quebec produces approximately 80% of the world supply, and, to consolidate its position the Federation expanded its global marketing campaign, which in 2017 saw the construction of a revised and rebranded new set of ‘4 Grades’ based on translucence, each with associated flavour profiles, and the creation of a maple flavour wheel, all designed to invoke a unique Québec maple terroir. \nIn this paper I trace the historical evolution of Québec maple syrup production and marketing since the 1930s through to the establishment of the Federation. I consider where power and agency sits - and has shifted - within this supply chain, taking into consideration the implications for small-scale producers and consumers.
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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 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.001 |
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".