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Record W4399727618 · doi:10.4000/11ubz

Ytreberg Espen, Media and Events in History

2024· article· fr· W4399727618 on OpenAlexaff
Yves Laberge

Bibliographic record

VenueRevue française des sciences de l’information et de la communication · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicEuropean Cultural and National Identity
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Ce livre méconnu du professeur Espen Ytreberg prolonge – sans le mentionner directement – les travaux pionniers des sociologues Peter Berger et Thomas Luckmann contenus dans leur ouvrage, devenu un classique des sciences sociales : La Construction sociale de la réalité. Mais à plus d’un demi-siècle d’intervalle, Media and Events in History est solidement ancré dans les théories sociales du XXIe siècle ; et son auteur, Espen Ytreberg, est professeur d’études médiatiques à l’Université d’Oslo....

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0070.008
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0160.003

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 head0.049
GPT teacher head0.330
Teacher spread0.281 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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