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Selling Mediation: Mimetic, Distancing, and Appellating Practices in the Marketing of an Emerging Profession

2005· article· en· W754047603 on OpenAlex
Andrew Woolford, Robert E. Ratner

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

VenuePeace and Conflict Studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMediationPublic relationsParty-directed mediationContext (archaeology)Transformative mediationAdversarial systemDistancingPolitical scienceAppealBusinessMarketingPresentation (obstetrics)Alternative dispute resolutionLawMedicine

Abstract

fetched live from OpenAlex

Individuals both within and outside the legal profession have been drawn by the ‘promise’ of mediation. In it they see a means for facilitating communicative exchanges between actors in conflict, which they view as a dramatic improvement on the adversarial practices of the formal legal system. However, despite the appeal of mediation to potential practitioners, there is not yet sufficient consumer demand to sustain the number of people who possess mediation skills. This has resulted in an overcrowded mediation market in which practitioners are forced to market themselves so as to compete for a limited clientele. In this context, the emerging mediation profession, with its still forming regulatory bodies, confronts the challenge of managing the image of mediation in the face of the increased marketing activities of mediators. In this paper we examine these marketing activities (described as mimetic, distancing and appellating practices) and their consequences for the public presentation of the mediation “profession.”

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.066
GPT teacher head0.404
Teacher spread0.339 · 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