The interest of landscape imagery in the creation of the Nunavik Tursujuq Park (Canada)
Bibliographic record
Abstract
Left to its Arctic isolation for many years, Nunavik, i.e. Northern Quebec, has now become the object of unprecedented attention. This is due not only to its energetic potential but also to global warming consequences causing the area to undergo major physical mutations- and to the rapidly-increasing pace of ethno-cultural transformations. The Tursujuq National Park Project (aka Guillaume Delisle-Lac-à-L'Eau Claire) is at the crossroads of these preoccupations. Beyond the preliminary regulatory studies carried out since 2002 by both the Quebec government (Minister of Sustainable Development, Environment and Parks) and the Inuit co-governance institutions, the research focuses on the analysis of the Tursujuq park landscape perceptions as a mean to complement and adjust the park's conception. The analysis concentrates on the iconographic representations of landscape and their related practices. The analysis will be carried out on a double basis: first the gathering of existing "landscape" images (archives, National Park websites) of the park's perimeter or vicinity produced by Westerners; and secondly the creation of an Inuit iconographic landscape corpus where oral tradition usually prevails. The fact of choosing a common landscape representations vector for the study has made possible the creation of an Inuit Landcape Imagery via a Landcape Photography Contest and a Children's Landscape Drawing Workshop in the local village of Umiujaq. Analysing the choices of location, composition and angles of all pictures will reveal essential landscape selections in relation to travelled places and emblematic features that will be represented. The results will underline the interest of using such expressions of landscape preferences as a helpful tool in the decision-making process of the perimeter, zoning and routing of the future Tursujuq National Park.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".