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Record W7097601208

Environmental Overview of Little Qualicum River Regional

2011· article· en· W7097601208 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Resources Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCanyonEstuaryHydrology (agriculture)Coastal plainPrecipitationClimate changeTerrainSTREAMS
DOInot available

Abstract

fetched live from OpenAlex

The following report involved a desktop review of existing information sources and field reconnaissance carried out in early August of 2011. 1.0 ENVIRONMENTAL SETTING The Little Qualicum River Regional Park (LQRRP) extends across 44 hectares (ha) of forest along the middle reaches of the Little Qualicum River. The Little Qualicum River flows northeast from Cameron Lake for approximately 14 km before passing through a sizeable estuary (measuring about 15 ha in area) near the Strait of Georgia. The LQRRP is located due north of the Little Qualicum Falls Provincial Park, a 440 ha protected area containing forest patches greater than 100 years old. As part of the coastal plain extending across southeast Vancouver Island, terrain in the vicinity of LQRRP is broadly level to gently undulating. The river corridor itself is deeply incised in places, with sections of the river passing through regions with canyons and steep bluffs. The LQRRP occurs along the western margins of the of Coastal Douglas-fir Biogeoclimatic Zone, within the Moist Maritime Subzone (or CDFmm). This zone has the mildest climate in Canada. It generally experiences warm, dry summers and mild, moist winters (Green and Klinka 1994). Brief periods of drought may occur over mid-to-late summer. Precipitation is lower in the CDFmm than adjacent subzones to the west due to the rain-shadow effect of Mt. Arrowsmith and the Beaufort Mountain Range. Typical forest stands within the CDF zone are dominated by Douglas-fir, Grand Fir and Western Redcedar.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.692
Threshold uncertainty score0.612

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.015
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.002

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 head0.183
GPT teacher head0.256
Teacher spread0.073 · 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
Published2011
Admission routes1
Has abstractyes

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