MétaCan
Menu
Back to cohort
Record W2984447448 · doi:10.15180/191206

Writing sound with a human ear: reconstructing Bell and Blake’s 1874 ear phonautograph

2019· article· en· W2984447448 on OpenAlexaboutno aff
Tom Everrett

Bibliographic record

VenueScience Museum Group Journal · 2019
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsCuriosityContext (archaeology)Sound (geography)Object (grammar)Visual artsSound designArtComputer scienceArt historyHistoryArtificial intelligencePsychologyAcousticsArchaeology

Abstract

fetched live from OpenAlex

Museums collect, preserve and interpret physical objects because they contain historical evidence that is sometimes difficult – if not impossible – to access through text and image-based research alone. In cases where original objects have been lost to history, reconstructions offer one way of reclaiming aspects of a past object’s design, use context and material culture. This article describes one such reconstruction project, which I recently undertook with collaborators at the Canada Science and Technology Museum in Ottawa. The goal of the project was to reconstruct Alexander Graham Bell and Clarence J Blake’s ear phonautograph: an 1874 curiosity that used an excised human middle ear to visually inscribe sound waves. Originally conceived of as a tool for deaf education, it became better known as the instrument that provided Bell with the technical insights he needed to develop and patent the telephone in 1876. This article consists of three parts. The first provides a historical background of the ear phonautograph and rationale for its reconstruction; the second offers a detailed description of the research and fabrication process; the third presents preliminary research findings that emerged through our experience building and operating the completed reconstruction.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.322
Teacher spread0.292 · 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.

Study designObservational
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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueScience Museum Group JournalSame topicHearing Impairment and CommunicationFrench-language works237,207