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Record W6986071523

Old Barn Community Centre Digital Library

2019· other· en· W6986071523 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2019
Typeother
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionHyporeflexiaTSG101Gestational periodDiafiltrationProteogenomicsDysgeusiaArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

The Old Barn Community Center exists as part of a larger vision set out by the University's former Minister of Education who, in 1908, envisioned the University of British Columbia transforming from a commuter campus to a “complete, sustainable campus community” (UTown@UBC). As both a product of, and contributor to, this vision, The Old Barn Community Center upholds to the social, economic, and environmental sustainability of the campus.\n\nThis is a digital collection of image, text, and graphic documents produced by and for The Old Barn Community Center (University Neighbourhood Association) at the University of British Columbia, Point Grey Campus. This collection provides descriptions and appropriate metadata for each item. \n\nPreserving images and documents that represent the Old Barn’s near-20 year presence on the UBC campus will demonstrate, and make accessible, the Center’s vast contributions to community-building among residents, students, faculty, and staff at the UBC Vancouver Campus. \n\nWe would like to acknowledge that we are located on the traditional, ancestral, and unceded territory of the Musqueam people.

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 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 score0.729
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0090.001
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.5130.218

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 head0.005
GPT teacher head0.197
Teacher spread0.191 · 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
Published2019
Admission routes1
Has abstractyes

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