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Record W4249707807 · doi:10.22215/etd/2000-12342

The effects of winter and scavenging upon the rate of decomposition and disarticulation in the Ottawa Valley Region of Eastern Ontario

2000· dissertation· en· W4249707807 on OpenAlexaboutno aff
Nicole Beifuss

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsScavengerDisarticulationDecompositionScavengingEcologyEnvironmental scienceDemographyGeographyChemistryBiologyRadicalPsychologySociologyBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

This experimental field research was designed to examine how the variable of freezing due to natural winter conditions in a rural setting would affect the rate and characteristics of decomposition of pig carcasses. The experiment was conducted in the county of Lanark, Eastern Ontario, commencing in February and spanning until the beginning of June, 2000. The variable of scavenger interaction and the integral role that they play in the rate of decay was also examined. It was determined that the effects of winter and scavenger interaction obscured the characteristic stages of decomposition. Scavengers seemingly increased the overall rate of decay to the skeletal state. The type or species of scavenger greatly effected the rate of disarticulation and the distance and degree to which skeletal remains were dispersed. Moreover, the participation and feeding behaviour of scavengers impeded the presence and colonization of necrophagous insects.

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)0.001
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 score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.006
GPT teacher head0.207
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 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

Citations0
Published2000
Admission routes1
Has abstractyes

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