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Record W2320924474 · doi:10.1386/eme.13.1.37_1

As much through manner as through matter: The ‘Postmanist’ approach to social research

2014· article· en· W2320924474 on OpenAlex
Ellen Cronan Rose

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 · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsIdeologyStyle (visual arts)SociologyOrder (exchange)Social mediaMedia studiesMosaicEpistemologyAestheticsPhilosophyLiteratureComputer scienceArtVisual artsWorld Wide WebLawPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Abstract Marshall McLuhan’s mosaic style has been excessively scrutinized; however, the elegant prose of fellow media ecologist Neil Postman has garnered little attention. This article argues that what we find in Postman, if we look beyond the content of his work to the way in which it is presented, is an important philosophy and related approach to social research that can and should be abstracted from his treatments of advertising as parable, television as first curriculum, and technology as ideology. Intended as a counter to pseudo-scientific approaches, ‘Postmanist’ social research is undertaken not in order to amass data but ‘to contribute to human understanding and decency’ and ‘improve social life’.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.713
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.195
GPT teacher head0.459
Teacher spread0.264 · 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