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Record W190780785

Ectoparasites of auks (alcidae) at the Gannet Islands, Labrador : diversity, ecology and host-parasite interactions

2000· dissertation· en· W190780785 on OpenAlexaboutno aff
Sabir Bin Muzaffar

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2000
Typedissertation
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSeabirdEcologyDiversity (politics)GeographyHost (biology)Nest (protein structural motif)BiologyZoologySociologyPredationAnthropology
DOInot available

Abstract

fetched live from OpenAlex

In seabirds, ectoparasites have been shown to cause everything from minor irritation and disease transmission to nest-desertion and death of both adults and chicks. I undertook my study to provide a better understanding of ectoparasite community structure using four auks and their ectoparasites as a model, and to attempt to derive some general principles that might be responsible for the persistence of ectoparasites on their seabird hosts. -- My thesis is presented in five chapters. The present chapter has summarized the rationale and background encompassing the objectives of the study and introduces the major group to which the host species in my study belong. Chapters 2, 3 and 4 are presented in the format of papers to be sent for publication in international, peer-reviewed, scientific journals. The quantifications and statistical analyses are different in each chapter and references are made to other chapters wherever appropriate. Chapter 5 summarizes the findings of Chapters 2, 3 and 4 in a more generalized form with suggestions for possible future research.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.017
GPT teacher head0.266
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2000
Admission routes1
Has abstractyes

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