The Hickey Marsh - Characterization of Important Coastal Habitats on the North Shore of the St. Lawrence Maritime Estuary
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A project to characterize important coastal habitats on the north shore of the St. Lawrence maritime Estuary has been funded for a period of 4 years (2018-2022). The aim of this project is to generate ecological reference data to draw a global portrait of the state of seven coastal marshes, namely the [Portneuf-sur-Mer marshes](https://catalogue.ogsl.ca/fr/dataset/5374b582-43aa-4ffa-8361-4a0d9f1f6b8e), the [Mille-Vaches bay](https://catalogue.ogsl.ca/dataset/f10f496a-acf4-4274-9c7b-7a005bcf54ed), the [Pointe des Fortin](https://catalogue.ogsl.ca/dataset/3b8c6d97-6eb8-4e8d-9869-ccb2b9bab5f3), [Bays des Grandes et des Petites Bergeronnes](https://catalogue.ogsl.ca/dataset/ca-cioos_a5125bd3-60e3-4c89-89b6-2d3a8728d10f), [Pointe-aux-Outardes](https://catalogue.ogsl.ca/fr/dataset/46d3ba2e-2fd3-4aad-a51a-f8343fbe6a73) and the Hickey marsh. This dataset covers the Hickey (Colombier) marsh area and associated wetlands. In order to improve knowledge of these ecosystems, a floristic and ichthyological inventory was carried out and the various abiotic factors characterized. Geomorphological data has also been collected, but it is not included in this dataset. However, they remain available by contacting directly the *Comité ZIP de la Rive Nord de l'Estuaire* (RNE) to have access to them. The ZIP RNE Committee holds orthomosaics from the site under study. This project is part of Fisheries and Ocean Canada's Coastal Environmental Baseline Program.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it