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Record W2801495308 · doi:10.7939/r3k606

The potential influence of mountain pine beetle (Dendroctonus ponderosae) control harvesting on grizzly bear (Ursus arctos) food supply and habitat conditions in Alberta

2012· article· en· W2801495308 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

VenueUniversity of Alberta Library · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsUrsusGrizzly BearsMountain pine beetleDendroctonusHabitatGeographyEcologyBiologyForestryPopulationBark beetleBark (sound)

Abstract

fetched live from OpenAlex

In response to the mountain pine beetle (Dendroctonus ponderosae) threat in Alberta, forest companies plan to surge harvest 75% of susceptible (mature) lodgepole pine (Pinus contorta) stands over 20 years. To assess potential changes to grizzly bear (Ursus arctos) habitat, I projected food availability over 60 years in the Upper Foothills. I also examined grizzly bear response to pine age, and its interaction with elevation and edge proximity. Post surge, forbs were predicted to increase by 25% and fruits by 2%. After 60 years, forbs should remain above (13%) while fruits could decline below (10%) pre-harvest conditions. Less Vaccinium membranaceum shrubs above 1228m and reduced Vaccinium myrtilloides fruit production below 1228m contributed to the decline. If the surge cut proceeds, efforts should be made to increase fruit production by enhancing shrubs at specific environmental conditions (age, elevation). Small cut-blocks near non-harvested pine seemed to be particularly beneficial for bears.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.987

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 communication0.0000.001
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 head0.003
GPT teacher head0.164
Teacher spread0.161 · 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