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Record W4247524265 · doi:10.1057/978-1-349-95943-3_276

Congressional Black Caucas Foundation

2019· book-chapter· en· W4247524265 on OpenAlexfundno aff

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2019
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicLogistics and Infrastructure Analysis
Canadian institutionsnot available
FundersGlobal Affairs CanadaCanadian Breast Cancer Research AllianceCamargo FoundationCanada Council for the ArtsKillam TrustsGovernment of Canada
KeywordsFoundation (evidence)Political scienceLaw

Abstract

fetched live from OpenAlex

Purpose : This award is for students with majors in the visual arts including, but not limited to, architecture, ceramics, drawing, fashion, graphic design, illustration, interior design, painting, photography, sketching, video production and other decorative arts Eligibility : 1. Must be a full-time student. 2. Must be planning to pursue a degree in a field that will lead to a career in the visual arts. The visual arts include architecture, ceramics, drawing, fashion, graphic design, illustration, interior design, painting, photography, sketching, video production and other visual arts. Must have minimum GPA of 2.5 on a 4.0 scale. This award is for United States students Level of Study : Postgraduate Type : Scholarship Value : US$3,000 Frequency : Annual Country of Study : United States of America Application Procedure : 1. The online application is available on the Congressional Black Caucus Foundations (CBC) website. During the online application process, the applicant must upload and/or complete the following forms. 2. A personal statement essay from the student (500–1,000 words) that addresses all four (4) of the topics listed on the application in one cohesive essay. 3. Two (2) letters of recommendation (Email addresses will be requested of each recommender for electronic submission of the letter. Hard copy letters will not be accepted.) Closing Date : 31 March Funding : Private Additional Information : Late applications and materials will not be accepted For further information contact: 1720 Massachusetts Avenue NW, Washington, Columbia 20036, United States of America Tel :: (1) 202 263 2800 Email :: scholarships@cbcfinc.org

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.239
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.2390.091

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 head0.020
GPT teacher head0.220
Teacher spread0.200 · 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
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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