MétaCan
Menu
Back to cohort
Record W3151606634 · doi:10.13039/501100000781

"La isla que no se repite”: modelos esclavistas en Cuba, Santo Domingo y Puerto Rico en el siglo XIX

2022· article· en· W3151606634 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2022
Typearticle
Languageen
FieldComputer Science
TopicNeural Networks and Reservoir Computing
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaAgencia Estatal de InvestigaciónUniversity of CambridgeHorizon 2020 Framework ProgrammeShanghaiTech UniversityMinisterio de Ciencia e InnovaciónNational Natural Science Foundation of ChinaBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaBill and Melinda Gates FoundationU.S. Department of EnergyEuropean CommissionCanada Research Chairs
KeywordsReservoir computingGaussianQuantum computerStatistical physicsComputer scienceQuantumEncoding (memory)Nonlinear systemPhysicsQuantum mechanicsArtificial intelligenceArtificial neural network

Abstract

fetched live from OpenAlex

Cartel invitación a la inauguración de la Exposición Museográfica "Esclavitud y legado cultural de África en el Caribe", 11 de agosto de 2022, Claustro San Juan Nepomuceno (centro histórico Santa Marta), Colombia

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.

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)0.016
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
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 score0.793
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0020.000
Scholarly communication0.0030.002
Open science0.0040.005
Research integrity0.0000.002
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 head0.092
GPT teacher head0.349
Teacher spread0.257 · 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