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Record W6964330076 · doi:10.25549/chs-m17881

View of the San Gabriel Mission, showing the ruins of the "Moneyan Institute", Los Angeles, ca.1895

2012· dataset· en· W6964330076 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2012
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessDirtCoffinFront (military)SAINTAltarQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Photograph of a view of the San Gabriel Mission, showing the ruins of the "Moneyan Institute", Los Angeles, ca.1895. A hexagonal stone entranceway is pictured at center, with its roof crumbling inward, although some of the shingles remain. In the background, a wall with a rectangular opening at its center stands independent of other structures. A dirt path is visible in the foreground along with a bush to the right, a tree to the left and low-growing vegetation. A wire fence marks a boundary in front of the ruins.; Picture file card reads: "Located at the east end of Main Street in Alhambra. This is where the electric car turns south to San Gabriel. Quaintest of all the objects which arrested the eye of the visitor at mission San Gabriel, were the pretentious gateway and its bee-hive piers of the 'Moneyan Institute'. These led to a more ambitious structure in the rear in which a school was kept by the founder. Upon the double gate, inscriptions in Greek, Latin and Hebrew bore witness to the value of learning. Even the cuneiform characters of ancient Nineveh were inwrought as decorations. In one of the remaining piers the harmless old fanatic died, with an image of the Holy Virgin above his head, an articulated skeleton at his feet, and a well-worn copy of some Greek classic within reach of his hand." -- Deane C. Carr

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)0.000
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 score0.298
Threshold uncertainty score0.997

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.2980.045

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 head0.014
GPT teacher head0.178
Teacher spread0.164 · 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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