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Record W7071363593

The roles of heterogeneity and scale in mallard nest site selection

2001· other· en· W7071363593 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2001
Typeother
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsWaterfowlNest (protein structural motif)Nesting (process)HabitatVegetation (pathology)Scale (ratio)AnatidaeSpatial ecologySelection (genetic algorithm)Breeding bird survey
DOInot available

Abstract

fetched live from OpenAlex

Waterfowl use of tall, relatively homogeneous upland nesting cover established as part of the North American Waterfowl Management Plan has often been lower than predicted by computer planning tools. Little information exists regarding the influence of patchiness or the spatial scales at which mallards (' Areas platyrhynchos') select nesting habitats. The present study addresses these ques ions at the level of the nest site, and provides new information to managers concerned with improving the productivity of nesting habitat for prairie waterfowl. Data were collected in conjunction with Prairie Habitat Joint Venture Assessment research, near Minnedosa, Manitoba in 1998. A random sample of 64 mallard nests were chosen from all nests located on a 65 km2 study area. Vegetation characteristics were measured within 4 x 4, 16 x 16, and 32 x 32 meter sample grids centered at each nest and at paired non-nest points. Observed habitat preferences suggest that management for nesting cover with an intermediate height and density, a high diversity and interspersion of grasses, forbs and shrubs, and fine scale structural heterogeneity may increase its attractiveness to nesting mallards. (Abstract shortened by UMI.)

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.213
Teacher spread0.201 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2001
Admission routes1
Has abstractyes

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