MétaCan
Menu
Back to cohort
Record W7003430407

IMSA 2004 Profile

2004· article· en· W7003430407 on OpenAlexfundno aff

Bibliographic record

VenueDigitalCommons-IMSA (Illinois Mathematics and Science Academy) · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsnot available
FundersU.S. Military AcademyUniversity of Illinois at Urbana-ChampaignCollege of Engineering, Michigan State UniversityIllinois Wesleyan UniversityHaverford CollegePurdue UniversityFairfield UniversityMacalester CollegeEastern Illinois UniversityFranklin W. Olin College of EngineeringKnox CollegeIowa State UniversityUniversity of PittsburghPomona CollegeMcGill UniversityGeorgia State UniversityUniversity of Notre DameWellesley CollegeUniversity of CincinnatiGeorgetown UniversityWorcester Polytechnic InstituteTulane UniversityUniversity of DaytonMichigan State UniversityHarvard UniversityYork UniversityUniversity of MiamiRensselaer Polytechnic InstituteNorthwestern UniversityUniversity of MissouriUniversity of CambridgeSyracuse UniversityUniversity of PennsylvaniaGeorge Washington UniversityRice UniversityGeorgia Institute of TechnologySan Diego State UniversityJohns Hopkins UniversityNorthern Illinois UniversityMassachusetts Institute of TechnologySwarthmore CollegeIllinois State UniversityValparaiso UniversityLake Forest CollegeYale UniversityDrexel UniversityVanderbilt UniversityWilliams CollegeReed CollegeUniversity of Southern California
KeywordsPublic speakingDynamics (music)Teaching methodCurriculum
DOInot available

Abstract

fetched live from OpenAlex

Illinois Mathematics and Science Academy: Founded in 1985 by the Illinois General Assembly, IMSA is a public residential educational program for students talented and interested in mathematics and science. Admission is competitive. IMSA serves 640 students in grades 10 thru 12 in an educational laboratory setting. As part of the overall academic experience, IMSA requires all students to reside on campus.* *Excerpt from the IMSA 2004 Profile

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

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

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 head0.015
GPT teacher head0.262
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueDigitalCommons-IMSA (Illinois Mathematics and Science Academy)Same topicDevelopmental Biology and Gene RegulationFrench-language works237,207