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Record W4416087012 · doi:10.21105/joss.09144

Plaquette: An Object-Oriented Framework for Embedded Signal Processing in Interactive Media

2025· article· W4416087012 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Open Source Software · 2025
Typearticle
Language
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsCollège MontmorencyUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaMitacsCanada Council for the Arts
KeywordsSignal processingInteractive computingInteractive mediaSIGNAL (programming language)Interactive design

Abstract

fetched live from OpenAlex

Plaquette is an object-oriented C++ framework for interactive media on embedded systems, supporting a wide range of platforms including AVR, ARM, ESP32, SAMD, and STM32.It provides a signal-centric architecture and a suite of modular abstractions (oscillators, filters, units, and scheduling engines) that simplify the design of time-based behaviors.Its expressive syntax allows fast prototyping with multiple sensors, actuators, and real-time processes, enabling researchers as well as creative practitioners to experiment with and design complex physical computing systems.Beyond its technical contributions, Plaquette serves as a bridge between scientific research and creative practice.Its application to interdisciplinary projects involving affective biofeedback and robotic behaviors demonstrates how the framework's flexible and robust infrastructure supports creativity and experimentation across interactive media.

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)0.006
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0040.001
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 head0.037
GPT teacher head0.396
Teacher spread0.359 · 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