Proceedings from the First International Conference on Urbanisation in the Arctic
Bibliographic record
Abstract
Conference 28-30 August 2012, Ilimmarfik, Nuuk, Greenland. The frame for the conference was phrased with a citation from the book Megatrends: "Urbanisation is a global trend which will significantly contribute to the shaping of human life in the future. The Arctic region is no exception ... Since the 1960's, most of the population growth in the Arctic has occurred in urban centres tied to industrial activities, social services and public administration" (Rasmus Ole Rasmussen, Megatrends, 2011, pp 22). Thus, the presentations and the discussions at the conference did not focus on if there is an urbanisation going on in the Arctic. The presentations and the discussions looked at how urbanisation in the Arctic actually has been going on and is developing. The main purpose of the conference was twofold. Firstly, the idea was to create a forum where politicians from some of the Nordic countries could meet politicians from Canada and discuss mutual experiences regarding the urbanisation process and share ideas on how to manage the process from a politicians' point of view. Secondly, it was a success criterion to give the politicians and researchers an opportunity to discuss on an informal basis what the politicians would like to know more about from the researchers and what recommendations the researchers have for the politicians in the Arctic societies. The proceedings include 10 abstracts and 18 papers not previously published. They represent some of the most distinguished researchers on socio-economic, social and cultural aspects of urbanisation in the Arctic. The articles have not been peer reviewed but the editors have made a light language revision of the texts.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.133 | 0.029 |
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".