Bibliographic record
Abstract
In traditional Greenlandic literature as among the critics of modern civilisation, modernisation and urbanisation correspond to alienation, loneliness, urban misery, and stress. On the other hand, more and more people try to get to the big cities. An urban centre like Nuuk seems to be a success. In contrast, the small remote settlements in Greenland continuously face major problems of social disorders and poverty because of extreme living costs and unemployment. In this article, life in the city is discussed through the eyes of youths from Nuuk and the rural East Greenlandic small town of Ittoqqortoormiit. The data come from three succeeding projects, CAM I-II-III, which included photos and texts from young Greenlanders between 10 and 20 years of age regarding themes such as “my school,” “my friends,” “my media,” and “my city.” An analysis of the material produced reveals that the views of these young people fit urban theories concerning life style and behaviour; rural dwellers submitting to a life with close connections and tranquillity opposite to the hectic city dwellers’ life in an urban area.
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 | 0.010 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".