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Record W1533283439 · doi:10.1108/17557501211224476

What do I have to do to get noticed around here?

2012· article· en· W1533283439 on OpenAlex

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

VenueJournal of Historical Research in Marketing · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSpatial and Cultural Studies
Canadian institutionsYork University
Fundersnot available
KeywordsAppealRelevance (law)OriginalityRhetoricValue (mathematics)MetaphorStyle (visual arts)SociologyWriting styleKey (lock)Social sciencePublic relationsAestheticsPolitical scienceLiteratureComputer scienceLawArtLinguisticsQualitative research

Abstract

fetched live from OpenAlex

Purpose This paper aims to explore some of the strategies and issues associated with writing historical research to meet the demand for social “relevance” and to appeal, and be accessible to, a broader audience of readers. Design/methodology/approach The paper uses Brown and Hackley as a foil for identifying the key differences between traditional academic writing and writing to get noticed. These differences are then analyzed to identify the issues for academic historians. Findings The paper highlights distinct uses of rhetoric, metaphor and theory in Brown and Hackley that make their paper stand out from typical academic history papers and raises concerns about this style of research and writing. Originality/value The paper identifies and opens the debate on some key issues in historical writing and explanation that arise when academic historians take seriously the demand to seek greater contemporary relevance and public support for their research.

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)0.020
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.146
GPT teacher head0.435
Teacher spread0.289 · 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