MétaCan
Menu
Back to cohort
Record W2008453843 · doi:10.2118/168511-ms

Teaching an Old Dog New Tricks

2014· article· en· W2008453843 on OpenAlex
Helga Shield

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSPE International Conference on Health, Safety, and Environment · 2014
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsImperial Oil (Canada)
Fundersnot available
KeywordsFootprintPlan (archaeology)Process (computing)Environmental planningEnvironmental resource managementComputer scienceWater resource managementGeographyEnvironmental scienceArchaeology

Abstract

fetched live from OpenAlex

Abstract The Norman Wells Operation in the Northwest Territories, Canada, is applying for a renewal of its water licence. The facility has been in operation since the 1920s on the banks of the Mackenzie River. No changes to the water inputs and outputs, facility process, or its land use footprint are being contemplated. No significant changes to the water licence are being requested. What is new is that the regulator now requires that Traditional Knowledge studies be undertaken – even for operating facilities. Of what possible use could such a study be at a site operating for almost 100 years? Turns out, quite a bit. Traditional Knowledge has been used in Canada for Environmental Impact Assessments for a number of years to plan new projects. This would be a first at an operating site with a static footprint. How could we make the study a useful exercise for both the local communities and the operation itself? It was decided that rather than focusing on the operational footprint itself as is the more usual approach, this study would focus on the Mackenzie River. Specifically, what did the operation need to know about the River for emergency response planning? Traditional Knowledge workshops were held in the local town of Norman Wells and down-river in Fort Good Hope. Local organizations were asked to select elders and others knowledgeable of the Mackenzie River to participate. A detailed map of a 220 km stretch of the River around the operation was updated which highlights access points, areas of winter open water, which islands were ice-covered in winter, hunting cabins, wildlife use, sand bar movement and so on. As Traditional Knowledge is intellectual property which is often required to be held in confidence, consent was obtained from workshop participants for more open use. The map was brought to public consultation meetings to show what data had been gathered, and to provide an opportunity for all community members to add more information. At the suggestion of Fort Good Hope community members, an additional workshop was conducted by boat along the River between Fort Good Hope and Norman Wells with community elders and facility first responders. Important sites were visited, photographed and summary description sheets were prepared. Finally, members from surrounding communities were invited to observe and then provide their suggestions and observations during the de-brief of an on-river emergency response exercise workshop. Traditional Knowledge has enhanced Norman Wells Operation’s ability to respond to incidents on the Mackenzie River by providing valuable added detail to maps and one-on-one knowledge sharing with first responders. Additionally, it has provided a meaningful forum for local communities and the operation to discuss issues and share information that is of importance to both.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.900
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.063
GPT teacher head0.390
Teacher spread0.327 · 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