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Record W7039426596

Media Tactics in the Long Twentieth Century

2024· book· en· W7039426596 on OpenAlexfundno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2024
Typebook
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsnot available
FundersUniversity of TorontoIowa State UniversityUniversity of CambridgeInstituto Nacional de Pesquisas da AmazôniaUniversity of OxfordUniversity of MinnesotaSage Foundation
KeywordsForegroundingPresentismMedia relationsField (mathematics)Digital mediaNew mediaMedia managementObject (grammar)Strategic communication
DOInot available

Abstract

fetched live from OpenAlex

<p>Integrating media studies with history, <i>Media Tactics in the Long Twentieth Century </i>explores the dynamic relationship between tactics and strategies in recent history.</p><p>Drawing on examples from a range of different countries and world regions, and looking at the infrastructures, entanglements, and institutions involved, the volume makes a strong case for media tactics as a new field of scholarly inquiry and for the importance of a historically informed approach. In contrast to strategic communication approaches, this media historical intervention contributes to new knowledge about the practical implementation of strategies. First foregrounding tactics as an object of study, the volume then counters the presentism of contemporary studies by adding a necessary historical perspective. Moreover, the book theoretically disentangles the concept of strategy – from an abstract contemporary buzzword to concrete, hands-on actions – which in turn reveals the complexity of using media strategies and media tactics in reality.</p><p>This volume will interest scholars and students working in the field of media and communication in general, and in the subfields of strategic communication, public relations, media history, and propaganda studies.</p><p>The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.</p>

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0120.012
Science and technology studies0.0000.001
Scholarly communication0.0070.009
Open science0.0080.006
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0040.004

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 head0.053
GPT teacher head0.296
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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