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Record W2324273884 · doi:10.1386/eme.11.1.73_1

A phenomenology of the podcast lecture

2012· article· en· W2324273884 on OpenAlex
Peggy Jubien

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

VenueExplorations in Media Ecology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsActive listeningPhenomenology (philosophy)Mobile deviceNote-takingHermeneutic phenomenologyPsychologyMultimediaPedagogySociologyLived experienceMathematics educationComputer scienceWorld Wide WebEpistemologyCommunicationPsychoanalysisPhilosophy

Abstract

fetched live from OpenAlex

Mobile technology is an integral part of all areas of life today, including business, government and education. Through the use of mobile devices such as digital audio players, smartphones and tablet computers, students can access pre-recorded lectures immediately from their homes and schools or as they move between locations. Now that mobile lectures (or podcasts) are common, it is important that we study the experience of listening to them in order to discover how it is different from the experience of listening in a classroom or lecture hall. This phenomenological study uses Max van Manen’s four existentials of lived space, time, relationship with others and body as a guide to uncover some of the hidden dimensions of listening to podcast lectures. It reveals new insights and understandings that educators may want to consider as lectures move out of classrooms.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.297
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