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Record W4415721473 · doi:10.1080/17511321.2025.2579518

Interview with Professor Hartmut Rosa

2025· article· en· W4415721473 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.

Bibliographic record

VenueSport Ethics and Philosophy · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsAmateurCompetition (biology)Order (exchange)Empirical researchEducational research

Abstract

fetched live from OpenAlex

In this interview, Hartmut Rosa, author of Resonance and Pedagogy of Resonance, discusses the origins of his flagship concept of resonance, as well as the role of sport in its conceptualization. In particular, he talks about his personal and passionate relationship with sport, both as an amateur practitioner and an avid spectator. The philosopher emphasizes the fundamentally unavailable nature of resonance, which makes it possible for it to emerge in a very wide range of practices, including situations that might seem unlikely at first glance, such as self-quantification, competition or opposition. From an educational perspective, Rosa highlights the unequal dispositions to resonance among children, which must be understood by teachers and the education system in order to enable each student to discover their preferred axes of resonance. Finally, various empirical research perspectives to be developed on experiences and relationships of resonance are considered.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.497

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.079
GPT teacher head0.280
Teacher spread0.201 · 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