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Record W3115409817

How Influencer Relations Works

2021· article· en· W3115409817 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Professional Communication · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsnot available
Fundersnot available
KeywordsInfluencer marketingAgency (philosophy)Ideal (ethics)JournalismPublic relationsConstructiveSociologyAdvertisingBusinessPolitical scienceComputer scienceMarketingLawSocial scienceRelationship marketingProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

Where should the role of influencer relations reside within a communication department? The results of this study suggest that that influencer relations is most at home under the public relations (PR) umbrella. To help explain why PR professionals are best positioned to manage the influencer relations functions this author has proposed the JIM (Journalism, Influencer, Marketing) Disclosure Approval Continuum. In addition, this author proposes a conceptual model for understanding the ideal influencer relations work flow (brand to influencer) and non-ideal (agency-mediated). Finally, this author proposes a 12-phase for effective influencer campaigns. The stated goal of this authors research to help communicators and influencers come to understand the role of influencer relations or what she calls “Influencer Logic”. By finding mutual understanding of the rules of engagement influencers and brands will have more harmonious relationships with each other and ideally achieve more mutually beneficial results.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.358
Teacher spread0.327 · 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