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Record W7096419324

York Area; New Paradigms From New Technologies

2003· article· en· W7096419324 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsEmerging technologiesNova scotiaWaterfowlProcess (computing)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

Perhaps the best and certainly the oldest reminder of the advantages of design for environment and mission is the diversity of dog breeds. Developed to serve the multiple purposes of guard, working and escort dog, the Boxer is a strong, boisterous, active dog with a very positive personality. To provide the necessary speed, dexterity and jumping ability, the Boxer needed to be a substantial dog of great power. The Nova Scotia Duck Tolling Retriever is not only suited for the Canadian Maritime climate, but also is specifically adapted for Nova Scotia hunting practices and waterfowl species. (Coldwell, 1999). The Half-Tide Spaniel, characterized by smaller ears and bigger feet than the true Water Spaniel, is perfectly adapted for leaving black dog hair on an orange couch. This unusual hybrid breed exemplifies the value of serendipity when a haphazard design process leads to a successful outcome. Innovative technologies for ferries, their propulsion, their intermodal interface and their construction offer opportunities for improved service, reduced cost, reduced environmental impact and better passenger connections. However, the complexity of a modern urban ferry system requires careful and broad analysis throughout the entire system to develop an optimized integrated system at minimum financial and environmental cost.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.150
Threshold uncertainty score0.501

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0080.012
Open science0.0010.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.1500.062

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 head0.023
GPT teacher head0.215
Teacher spread0.192 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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