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Record W2132123953

Barrick Appoints Alex Davidson Executive Vice President, Exploration Reflects Company's Increasing Focus on Exploration

2003· article· en· W2132123953 on OpenAlexaboutno aff
Richard R. Young, Vincent Borg, Vice Président

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsVice presidentManagementExecutive directorChief executive officerGlobeCorporationOfficerGrassrootsLibrary sciencePolitical sciencePsychologyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Barrick Gold Corporation today announced the appointment of Alex Davidson as Executive Vice President, Exploration. The appointment reflects Mr. Davidson’s contributions to the Company, formerly as Senior Vice President, and Barrick’s increasing strategic focus on exploration. Since joining Barrick in 1993, Mr. Davidson has overseen the expansion of the Company’s exploration program from North America into South America and around the globe. “Under Alex’s direction, our exploration teams have had a number of world-class exploration successes including the Alto Chicama gold discovery in Peru in 2002,“ said Greg Wilkins, President and Chief Executive Officer. Alto Chicama resulted from Barrick’s decision to undertake an expanded grassroots exploration program as industry exploration declined. Mr. Davidson recently received the Prospector of the Year Award from the Prospectors and Developers Association of Canada. Prior to joining Barrick, Mr. Davidson explored on behalf of major mining companies in Canada and Latin America. He graduated from McGill University in 1976 with a Masters degree in Economic Geology. Barrick is one of the world’s leading gold producers, with operations and development projects on four continents, one of the largest gold reserves, at 87 million ounces, and the industry’s only A-rated balance sheet.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.931

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.256
Teacher spread0.215 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2003
Admission routes1
Has abstractyes

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