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Record W6926807054 · doi:10.25549/examiner-c44-37580

Post storm damage ...Artesia and Reseda ...Overall shot of Pioneer Street School ...New bridge going up at Reseda Boulevard and Kitteridge Street, 1952

2021· dataset· en· W6926807054 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2021
Typedataset
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBoulevardYardBridge (graph theory)Shot (pellet)StormPiano

Abstract

fetched live from OpenAlex

17 images. Post storm damage ...Artesia and Reseda ...Overall shot of Pioneer Street School ...New bridge going up at Reseda Boulevard and Kitteridge Street, 19 January 1952. Artesia: Vernon Auwen, cleaning yard; Mrs. Tillie Jansen, feeding infant at Pioneer Street School; Diana Tow, 10 months, being fed by above; David Schaeffer, 5, trying out piano after storm; Corina Gurule, 12, trying out piano after storm; Charles Smith, 15, Examiner newsboy delivering paper in boat; Mrs. Willis Gardner, receiving paper from Smith; Dorothy Bowman, 15, cleaning house after storm; Eugene C. Bowman, her father, on crutches, looks on. Reseda: Jackie and Joseph Ryerson, 6 and 5, watch father clean yard; Jack Ryerson, cleaning up yard; Mrs. Lillian Kierz, hanging up wet clothes after storm; Lloyd Karch, viewing effects of storm; Steven Alberico, 2, in yard, after storm; Mrs. A.W. Hart, with two cats, in yard after storm; Mrs. Horton Miller, cleaning up yard after storm; Mrs. J.W. De Fever, cleaning up yard after storm.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score0.687

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5190.185

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 head0.012
GPT teacher head0.195
Teacher spread0.183 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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