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Record W6991432079

Getting Ready for Kindergarten

2012· article· en· W6991432079 on OpenAlexaboutno aff

Bibliographic record

VenueSPARK Scholarship at Parkland (Parkland College) · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Quarter (Canadian coin)Style (visual arts)Child careCommission
DOInot available

Abstract

fetched live from OpenAlex

Project: Kindergarten Calendar Client: United Way of Champaign County Background: United Way is an international non-profit organization that addresses critical human care needs and creates long lasting change in communities around the world. The Champaign County chapter specifically funds a network of 67 programs and initiatives provided by 37 local non-profit agencies. In 1999, Bank of America Foundation donated $50 million over 5 years to support United Way's Birth to Work Agenda called "Success by 6." This public engagement campaign helps parents, caregivers and communities to create early learning opportunities for young children through awareness, education and action. Objective: Since 2006, Electric Pictures has designed an annual "Getting Ready for Kindergarten" calendar for United Way of Champaign County. On a typical year, rights for artwork from an established children's book illustrator are purchased and used for the cover as well as some inside pages. Sponsors are solicited to help pay for the production cost of this calendar which are available free of charge to all parents of 4-year olds in Champaign County. In 2012, the local labor union became a major sponsor of the Kindergarten Readiness Calendar. The sponsor requested that the calendar utilize artwork with a "construction theme." Since this required the creation of cusrom illustrations, Electric Pictures was commissioned to create the original artwork. Solution: In contrast to past calendars, Electric Pictures proposed creating a simple-to-execute style of digital art in the genre of Hello Kitty. A sample was produced for discussion and revised after client input. The final illustrations have the cute and adorable quality of Japanese kawaii culture designed to appeal to young children as well as adults. Over a dozen original spot illustrations were created in this art style illustrating that "to build a happy, healthy academically successful child you also need a strong foundation."

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.358
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0040.001
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.3580.071

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 head0.084
GPT teacher head0.291
Teacher spread0.207 · 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
GenreEmpirical

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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