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Record W263411063

Mediator as Cook: Mediation Metaphors at the Movies, The

2007· article· en· W263411063 on OpenAlexaff
Jennifer L. Schulz

Bibliographic record

VenueJournal of dispute resolution · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMediationMetaphorStyle (visual arts)PsychologyMediatorSocial psychologyConflict resolutionTransformative mediationVitalityAestheticsEpistemologyPolitical scienceAlternative dispute resolutionPhilosophyArtLiteratureLinguisticsLaw
DOInot available

Abstract

fetched live from OpenAlex

In this article I will explore the vitality of the metaphor of the mediator as cook by tracing it through other food and conflict resolution related films. In so doing, I hope to achieve two things: first, to continue to insist that non-adversarial processes like mediation be included in the study of Law & Film, and second, to show that the metaphor suggested for mediators based on one film, resonates in other films and suggests new insights about mediator style and practice. Through a Law & Film analysis of two films, Soul Food and Mostly Martha, I will argue that other movies utilize the metaphor of the mediator as cook, and thus that the metaphor resonates in popular culture. I will demonstrate that Soul Food and Mostly Martha provide support for my claims that: (1) mediation need not be voluntary to be sound; (2) mediators can be partial, directive, and evaluative and still be effective by individualizing their approaches to each disputant and dispute; and (3) an approach to mediation that embraces emotion is to be celebrated and can produce pleasure.

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 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 score0.646
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.029
GPT teacher head0.264
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2007
Admission routes1
Has abstractyes

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