MétaCan
Menu
Back to cohort
Record W6927237416 · doi:10.26071/ogsl-9f0702d3-fcfa

Localisations GPS de fous de Bassan nichant sur l'Île-Bonaventure saison 2015

2015· dataset· fr· W6927237416 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOGSL repository · 2015
Typedataset
Languagefr
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsCoastal zoneContext (archaeology)Global Positioning System

Abstract

fetched live from OpenAlex

Depuis 2012, le Laboratoire d'ornithologie marine de Rimouski (https://ornithologiemarine.wixsite.com/lomr/david-pelletier) a mis en place un programme de suivi annuel du comportement alimentaire des fous de Bassan (Morus bassanus) nichant dans le parc national de l'Île-Bonaventure-et-du-Rocher-Percé (plus spécifiquement sur l'île Bonaventure). Le LOMR est dirigé par Magella Guillemette (professeur à l'Université du Québec à Rimouski) en collaboration avec David Pelletier (professeur au Cégep de Rimouski). Plusieurs dizaines d'étudiant.e.s des niveaux collégial et universitaire (1er, 2e et 3e cycles) ont participé la collecte de ces données. Les données présentes dans cette base de données sont celles de 2015, mais celles au delà de 2017 peuvent être demandées au LOMR en contactant les propriétaires des données. Les localisations ont été enregistrées à l'aide de consignateurs de données GPS, programmés à une fréquence de 5 ou 10 minutes (suivant les années) et fixés sur la queue des oiseaux avec du ruban adhésif blanc de grade marin de marque Tesa.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.021
GPT teacher head0.296
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it