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Record W4410049364 · doi:10.33137/ijournal.v10i2.45412

From the Heart

2025· article· en· W4410049364 on OpenAlexvenueno aff

Bibliographic record

VenueThe iJournal Student Journal of the Faculty of Information · 2025
Typearticle
Languageen
FieldMedicine
TopicPhonocardiography and Auscultation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyCardiologyInternal medicineComputer scienceMedicine

Abstract

fetched live from OpenAlex

This paper explores the historical and technological evolution of the stethoscope, emphasizing its role as a communication device in the medical field. The research begins by examining the cultural significance of sound and listening, drawing on literary and historical context provided by sound, culture, and medical historians. The concept of audile technique is discussed, highlighting the skill required to interpret heart sounds and other bodily noises. This paper also addresses the social and professional implications of the stethoscope, noting its contribution to the credo and status of physicians as masters of scientific endeavours who now possessed enhanced diagnostic accuracy of abdominal pathologies. The stethoscope’s ability to make the body audible has extended its use beyond medicine into art, cinema, and media, illustrating its broader cultural impact. Furthermore, this historiography considers the stethoscope’s role in expanding the medical gaze, as theorized by Michel Foucault, and its implications in patient objectification. The transition from analog to digital stethoscopes is also discussed, underlining the ongoing evolution of medical listening technologies and their impact on the doctor-patient relationship.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.095
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0950.057

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 head0.012
GPT teacher head0.322
Teacher spread0.310 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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