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Record W6964099676 · doi:10.25549/chs-m6527

Four men assessing the Evertsen Adobe in San Gabriel before it was to be destroyed, shown from a distance, 1960

2012· dataset· en· W6964099676 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2012
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdobeQuarter (Canadian coin)CensusFront (military)Section (typography)Ledger

Abstract

fetched live from OpenAlex

Photograph of four men assessing the Evertsen Adobe in San Gabriel before it was to be destroyed, shown from a distance, 1960. Four men are pictured in the foreground, standing on a leaf-strewn front yard. The lightly-colored adobe is pictured behind them, its center section jacketed in wood while the left side is made of brick. The men are identified from left as: Charles Fulkerson, Title Insurance and Trust; Thomas Workman Temple II, San Gabriel Mission Custodian; Norm Woest, Title Insurance and Trust; and Charles Elgert, President of the San Gabriel Historical Society and Postmaster. The two leftmost men look over what appear to be schematics or blueprints, while the right two look at what appears to be a ledger of some kind. A slab of unearthed foundation can be seen to the right.; The adobe was built in 1850 by John R. Evertsen, who was charged with taking the first U.S. Census of the City and County of Los Angeles.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.092
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0760.105

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 head0.016
GPT teacher head0.189
Teacher spread0.173 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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
Published2012
Admission routes1
Has abstractyes

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