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Record W4249063053 · doi:10.24124/2019/59005

Ground beetles (coleoptera: carabidae) of the Chun T'oh Whudujut Park in eastern British Columbia, Canada, and their use as bioindicators of disturbance

2019· dissertation· en· W4249063053 on OpenAlexaffabout
Ian Higgins

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsBioindicatorHabitatEcologyBiodiversityGeographyDisturbance (geology)Ground beetleTemperate climateTemperate rainforestBiologyEcosystemForestry

Abstract

fetched live from OpenAlex

The Chun T’Oh Wudujut is a provincial park located in the Interior Cedar-Hemlock biogeoclimatic zone. My objective was to assess the use of carabid beetles as bioindicators of change in this unique interior temperate rain forest ecosystem. Using a combination of morphotyping and DNA barcoding, I examined the diversity of carabid beetles in three different habitat types: clear-cuts, undisturbed old growth, and disturbed old growth subject to frequent human traffic. Nineteen species of carabid were observed, with the highest diversity occurring in clear-cut sites. Carabid diversity in both old growth habitats was similar, but differed from that in the clear-cuts. Temperature and relative humidity proved more variable in clear-cut sites; this may impact carabid biodiversity, and should be measured in future bioindicative studies. Several species of carabid beetles (alone and in combination) were identified as possible bioindicators, including Scaphinotus marginatus, Trechus chalybeus, Pterostichus herculaneus, and Pterostichus riparius.

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 score0.044
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.194
Teacher spread0.186 · 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
Published2019
Admission routes2
Has abstractyes

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