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Record W2980084237 · doi:10.4324/9780429051333-3

Continuity and Change in the U.S. Decision-Making Process in Raw Materials

2019· book-chapter· en· W2980084237 on OpenAlexaboutno aff
John H. Ashworth

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Raw materialProcess managementDecision-makingProcess engineeringBusinessComputer scienceEngineeringBiologyEcologyProcess integration

Abstract

fetched live from OpenAlex

Since the beginning of the 1970s, the production and distribution of raw materials have become subjects of intense public debate and scholarly analysis in the United States. Part of this attention has been caused by the "energy crisis" and by the sudden realization that it brought of the nonrenewable nature of once-plentiful domestic minerals. Throughout the history of the United States, raw materials have been considered to be private rather than public goods. Underground mineral rights are not automatically the property of the federal government, as in most major mineral-producing countries, or of the states and provinces, as in the case of Canada, but rather belong to the owner of the surface land under which the minerals are found. The right to levy severance taxes on mineral production from private lands is reserved to the individual states in the US system, and virtually all mineral-producing states have enacted such taxes.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
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 science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.292
Teacher spread0.268 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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