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Record W6981737887

Exploring transportation planning in the Bow Valley Corridor

2010· dissertation· en· W6981737887 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2010
Typedissertation
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101DiafiltrationLiquationHyporeflexiaArticular cartilage damageProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

Canada, once a world leader in transportation innovation, now finds itself poorly positioned and critically unprepared for a post-carbon future. As federal and provincial transportation authorities continue to push ahead massive highway building programs − intended to facilitate growth in Asia-Pacific trade − in and through Western Canada, an increasing amount of evidence suggests that soon, Peak Oil will undermine the practical value of such projects. The ongoing Trans Canada Highway Twinning Project through Banff National Park is one such example, and indicative of our misplaced emphasis regarding transportation planning in the Bow Valley Corridor. This project aims to explore how that vision has come to dominate regional transportation activities through the observations and opinions of regional stakeholders. Of particular focus is how these stakeholders think about regional transportation issues, develop appropriate solutions, and ultimately, whether or not they might shift towards a sustainable transportation paradigm.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.059
GPT teacher head0.293
Teacher spread0.234 · 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 teacher head, not a consensus.

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
Published2010
Admission routes1
Has abstractyes

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