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Record W2024534321 · doi:10.1111/0162-895x.00276

The Problem of Transfer from Confidential Interactive Problem‐Solving: What Is the Role of the Facilitator?

2002· article· en· W2024534321 on OpenAlexafffund
Cynthia J. Chataway

Bibliographic record

VenuePolitical Psychology · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsYork University
FundersYork University
KeywordsFacilitatorConfidentialityPerceptionComplementarity (molecular biology)PsychologySocial psychologyProcess (computing)PoliticsPublic relationsPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Interactive problem‐solving workshops provide a relatively confidential atmosphere in which members of societies engaged in protracted social conflict can examine and share their assumptions and perceptions about the conflict and think creatively about the possibilities for de‐escalation. Two sorts of workshop goals have generally been articulated: (1) creating change in participants’ understanding, and (2) transferring participants’ new ideas to political decision‐making and public discussion. Although facilitators have tended to emphasize the role of the participants in generating and transferring new learning, this article expands our conceptions of change and transfer to include both participants and facilitators. A basic complementarity is postulated between the strengths and weaknesses of these two agents of transfer. If considered this way, the integrity of this confidential process—and thus of its potentially unique contributions to a peace process—can be maintained while increasing the opportunities for transfer.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.195
metaresearch head score (Gemma)0.346
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.195
Threshold uncertainty score0.993

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1950.346
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0100.019
Scholarly communication0.0140.038
Open science0.0110.020
Research integrity0.0110.009
Insufficient payload (model declined to judge)0.0100.003

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 head0.027
GPT teacher head0.345
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
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

Citations21
Published2002
Admission routes2
Has abstractyes

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