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Common Language, Different Meaning: What Meidators Mean When They Talk About Their Work

2002· article· en· W2087607390 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNegotiation Journal · 2002
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsMediationAffect (linguistics)FacilitationMeaning (existential)Context (archaeology)PerceptionTransformative learningDiversity (politics)PsychologyExploratory researchSocial psychologyWork (physics)SociologyPedagogySocial scienceHistoryCommunication

Abstract

fetched live from OpenAlex

Abstract Mediators, for the most part, descrive their work as “facilitation” but what they actually mean varies considerably. Based on an exploratory study with nealy 90 mediators in Canada (all of whom are also mediation trainers), the author describes the great diversity among mediators’understanding of commonly-used terms like facilitation, transformative, settlement, and humansitic. She also reports on how such factors as context, gender, and number of years mediating affect mediator perceptions of what they do. In addition, the author shows how perceptions affect the overall philosophy and goal of hte meidation practitioner: One implication of this research is that we can no longer presume to know what people men by “mediation,” nor can we assume mediators are like-minded in how they understand their work. Thus, practitionsner, scholars and policymakers are encouraged to be purposefully clear when describing and writting about the practice of mediation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.271
Teacher spread0.248 · 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