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Record W6907842434 · doi:10.25549/examiner-c44-74624

Women in the Air Force Band at Shrine crippled children's Hospital, 1957

2021· dataset· en· W6907842434 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFrench hornBase (topology)Slip (aerodynamics)Performance art

Abstract

fetched live from OpenAlex

2 images. Women in the Air Force Band at Shrine crippled children's Hospital, 29 July 1957. Sergeant Marjorie Sanders; John Gerneldt -- 10 years; Richard Kneeshaw -- 9 years; Danny Holsapple -- 8 years; Lorenzo Porras -- 9 years; Captain Mary Belle Nissly (band director); Gertrude Wills (nurse); Jackie Axtell -- 2 1/2 years; Margeret Soesman (nurse); Eileen Glynn (nurse); Sheila Palmer -- 4 years.; Caption slip reads: "Photographer: Miller. Date: 1957-07-29. Reporter: Sid Bernstein. Assignment: WAF band at Shrine Crippled Children's Hospital. Left to right: 17: Sgt. Marjorie Sanders, whose parents live at 853 East Holt avenue, Ontario, plays big base horn for John Gerneldt, 10; Richard Kneeshaw, 9; Danny Holsapple, 8, and Lorenzo Porras, 9. 43: Band director Capt. Mary Belle Nissly, leads bands through a number surrounded by patients. 49: Nurse Gertrude Wills watches Jackie Axtell, 2 1/2, in her crib with band in background. 13: Nurses Margaret Soesman and Eileen Glyan take care of Shelia Palmer, 4, whose legs are in splints from operation".

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.180
Threshold uncertainty score0.603

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 studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1800.027

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 head0.004
GPT teacher head0.152
Teacher spread0.148 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueUniversity of Southern California Digital Library→French-language works237,207→