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Now for Sale: Oldest Paperweights

2010· article· en· W2574952551 on OpenAlexaboutno aff

Bibliographic record

VenueScience · 2010
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

![Figure][1] CREDIT: SSPL/GETTY IMAGES Where are those Consumer Reports people when you need them? Prospector and mine worker Mark Brown of Yellowknife in the far north of Canada has got a deal for you: a fist-size chunk of the planet's oldest known rock for just $149.99 (Canadian), $249.99 with a nifty pyramidal display case. Brown has a claim on a remote island in the Acasta River, 300 kilometers north of Yellowknife, that contains gneiss that formed 4.03 billion years ago, little more than half a billion years after Earth did. “Not what I would say is the flashiest of rocks,” says Brown in his 10-minute promotional video ( ), “but I find it very, very inspiring.” But geochronologist Samuel Bowring of the Massachusetts Institute of Technology in Cambridge, who dated the famed Acasta gneiss with colleagues, warns that similar-looking rock at the site is hundreds of millions of years younger. Brown “has no way of guaranteeing” that his samples are in fact the oldest rock, Bowring says. Aside from that, the offering doesn't really bother him. “If selling that rock exposes a bunch of people to the fact that Earth is 4.6 billion years old, it's a good thing.” [1]: pending:yes

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.948
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0100.008
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.9480.928

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 head0.223
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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