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Record W1499546432

Conflict-free minerals supply-chain to electronics

2012· article· en· W1499546432 on OpenAlex

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.

Bibliographic record

VenueElectronics Goes Green · 2012
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsElectronicsSustainabilitySupply chainBusinessAuditStakeholderAccountingCorporate social responsibilityEnvironmental economicsIndustrial organizationEngineeringMarketingPublic relationsManagementEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Conflict Free Smelter (CFS) Program is a novel mechanism of corporate social responsibility (CSR) and sustainability management, which provides assurances on the sources of strategic resources used in electronics. The program achieves this by auditing metal smelters and refiners to confirm that that they have not sourced materials from conflict regions. The structure of the program includes formal protocols, an audit review committee, stakeholder consultation, and an industry oversight group. Although it has faced technical challenges in implementing protocols, the CFS has demonstrated the ability to identify sources of metals. Data show that the quantities of metals from compliant facilities currently represent a fraction of market volume, with the exception of a significant number of compliant tantalum refiners. Through this initiative, the electronics sector has influenced social performance in firms that are many tiers deep in the supply-chain. Possible expansion to other sustainability issues and sectors is possible.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.212
Teacher spread0.203 · 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