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Jeden świat. Reklama społeczna w dobie pandemii

2021· article· en· W4200237496 on OpenAlexaboutno aff
Krzysztof Stępniak

Bibliographic record

VenueMedia Biznes Kultura · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicFace (sociological concept)HumanityInterpretation (philosophy)SimplicityMass mediaSociologyAdvertisingMedia studiesPsychologyPolitical scienceCoronavirus disease 2019 (COVID-19)Social scienceLinguisticsMedicineLawBusinessEpistemology

Abstract

fetched live from OpenAlex

The article is an excerpt from a wider research project carried out by the author in October– December 2020, concerning advertising materials used by WHO and selected countries (Poland, Australia, Canada, New Zealand and South Africa) in social campaigns during the SARS-CoV-2 pandemic. This text presents one case study – a campaign used in Poland, comparing its messages with WHO advertising materials. The main thesis was taken from the thought of Ivan Krastev, who claims that the pandemic made everyone realize that all people are inhabitants of “One World” in the face of a global threat. The entire study used the triangulation of two research methods – case study and compositional interpretation by Gillian Rose. Roman Jakobson’s model of linguistic communication was used to examine the verbal layer of messages. In the linguistic layer of the messages, their considerable persuasiveness was assumed. In the visual layer, due to the simplicity of the form, it is limited to the compositional modality, with particular emphasis on colors and iconic signs. The text shows how important a role in communication, especially in times of a pandemic, is played by social advertising campaigns. Paradoxically, a pandemic that threatens humanity may also open up new, comparative areas of research on the effectiveness of mass communication means used in some countries, which can be successfully used in others.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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