MétaCan
Menu
Back to cohort
Record W2886882716

Ontario unveils new mineral strategy

2016· article· en· W2886882716 on OpenAlexaboutno aff
Liz Gyekye

Bibliographic record

VenueIndustrial Minerals · 2016
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsStock exchangeEquity (law)CommodityCapital (architecture)Venture capitalBusinessInvestment (military)Mining industryFinanceEconomyEconomicsGeographyPolitical scienceEngineeringMining engineeringPoliticsLawArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Northern Development and Mines Minister, Michael Gravelle, said the Toronto Stock Exchange (TSX), which is based in Ontario, is the and mining capital of the world. There are 1,500 exploration companies listed on the TSX and the TSX Venture Exchange (TSX-V) - more than half the public mining companies in the world, the government said. In 2014, more than 60% of all new mining equity capital raised globally took place on Toronto's exchanges. The industry has taken a severe knock from the collapse of investor confidence in mining, thanks partly to the fall in commodity prices worldwide. However, capital investment in Ontario's mining industry still reached C$1.3bn in 2014.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.999

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.225
Teacher spread0.165 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueIndustrial MineralsSame topicMining and Resource ManagementFrench-language works237,207