De echte prijs (true price) van mosselen : Echte en eerlijke prijs van duurzame producten – casus mosselen Module natuurlijk kapitaal (water, bodem en lucht)
Bibliographic record
Abstract
Mosselen staan bekend om hun relatief lage milieubelasting vergeleken met andere (met name dierlijke) eiwitbronnen zoals kip, varken, rund en andere vissoorten (inclusief schelp-en schaaldieren).De kernvraag is: wat is de bijdrage op het natuurlijk kapitaal door de Nederlandse mosselproductie en -consumptie en welke economische waarde (in euro's) kan hieraan worden toegerekend?De berekende echte prijs (true price) van Nederlandse mosselen is € 4,76 1 (2021) per kilogram, waarvan € 0,47 milieukosten.De positieve bijdragen (true value) van mosselen op het natuurlijke kapitaal via waterzuivering en verrijking van de biodiversiteit zijn samen goed voor € 0,14 per kilogram Nederlandse mosselen in het winkelschap.De methodologie van de true price berekeningen berust op bestaande Life Cycle Analysis (LCA).Deze methodiek is gestoeld op internationale standaarden en wetenschappelijke literatuur.Daarbij opgemerkt dat in deze studie afgeweken van de standaard benadering bij true price berekeningen doordat de maatschappelijke baten en -kosten in dit rapport gesaldeerd (verrekend) zijn tot één netto true price.Mussels are known by their low footprint compared to other (in particular animal) protein sources like chicken, pork, beef or other fish species (including shellfish and crustaceans).The key research question is: what is the contribution to the natural capital by the Dutch mussel production and consumption and which economic value (in euros) could be accounted to this contribution?The calculated true price for Dutch mussels is € 4,76 2 (2021) per kilogram of which € 0,47 climate costs.The positive contributions (true value) by mussels to natural capital via water purification and enriching biodiversity are cumulative monetarized in the total true price as € 0,14 per kilogram of Dutch mussels presented in the consumer market.The methodology of true pricing is based on existing Life Cycle Analysis (LCA).This methodology relies on international standards and scientific literature.Noteworthy is that there is a deviation within this study from the standard approach of true price calculations as the societal benefits and -costs are cumulated to one net true price.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".