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Record W2137512204 · doi:10.1177/0963662513512441

<i>Nacherzeugung, Nachverstehen</i>: A phenomenological perspective on how public understanding of science changes by engaging with online media

2013· article· en· W2137512204 on OpenAlex
Wolff‐Michael Roth, Norm Friesen

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

VenuePublic Understanding of Science · 2013
Typearticle
Languageen
FieldPsychology
TopicPhenomenology and Existential Philosophy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPerspective (graphical)EpistemologyScientific literacySociologyHistory and philosophy of scienceHistory of scienceScience communicationScience educationSocial sciencePhilosophyPedagogy

Abstract

fetched live from OpenAlex

It is widely acknowledged in science education that everyday understandings and evidence are generally inconsistent with the scientific view of the matter: "heartache" has little to do with matters cardiopulmonary, and a rising or setting sun actually reflects the movements of the earth. How then does a member of the general public, which in many areas of science is characterized as "illiterate" and "non-scientific," come to regard something scientifically? Moreover, how do traditional unscientific (e.g., Ptolemaic) views continue their lives, even many centuries after scientists have overthrown them in what are termed scientific (e.g., Copernican) revolutions? In this study, we develop a phenomenological perspective, using Edmund Husserl's categories of Nacherzeugung and Nachverstehen, which provide descriptive explanations for our observations. These observations are contextualized in a case study using online video and historical materials concerning the motions of the heart and blood to exemplify our explanations.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptScience and technology studies
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Qualitativemedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0020.029
Scholarly communication0.0000.002
Open science0.0020.000
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 head0.191
GPT teacher head0.316
Teacher spread0.125 · 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