a moving body of water ~ Architectures of Marine Protected Areas around Iceland
Bibliographic record
Abstract
This master thesis, within Architectures of Care, draws out and proposes a network of Marine Protected Areas around Iceland that fulfil the global goal of at least 30% conservation by 2030 (Target 3, Kunming-Montréal Global Biodiversity Framework, United Nations Convention on Biological Diversity). It is a creative contribution to the call for the transformative change needed to manage the ongoing planetary crisis. \nAbout 25% of Iceland’s 103.000 km2 terrestrial area is protected by law already. However, only 0.07% of its 764.000 km2 seascape is. Hence, an area more than twice the size of the island itself needs to be protected within the next six years—but how? \nThis thesis aims to shed light on how architects as spatial thinkers can work on the road ahead. The author embraces "ocean as a method" in her ways of reading the sea as an architectural space, departing from linear and optimised work processes, and makes use of oceanographic data as well as bodily explorations. The author’s love for the sea is the primus motor and solutions are drawn with cod, corals, currents, and a diverse group of human stakeholders.
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 | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".