What’s in a Label? Articulating Identity through Certification Schemes in Greenlandic Post-Colonial Nation Building
Bibliographic record
Abstract
In this article, we explore the connection between industrial certification schemes and the articulation of identity within a broader context of Greenlandic independence. As a heuristic tool to explore ethno-political visions and interferences that emerge from the process of national independence, we draw on three sustainability labels used within the Greenlandic fisheries, hunting and tourism sectors. Drawing on their framings of sustainability, we examine whether and in what ways voluntary marked-based certification schemes under the auspices of the Greenland Self-rule Government add to how research has previously defined Greenlandic identities. We further discuss how these certification schemes contain, speak to, support, or contest ethno-national categories with relevance to Greenlandic nation building. In conclusion, we argue that certification regimes in Greenland draw on old as well as emerging categories of collective identity, contributing to the continuous repositioning of Greenland’s key economic sectors in post-colonial nation building.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".