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Record W2311652726 · doi:10.14288/1.0054337

A task analysis of conflict resolution

2010· article· en· W2311652726 on OpenAlexaff
Lin Taylor

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTask (project management)Computer sciencePolitical scienceEconomicsManagement

Abstract

fetched live from OpenAlex

Twenty four in therapy client performances were analysed in order to describe patterns related to conflict resolution. Twelve Gestalt events in which resolution was achieved were compared with twelve nonresolution events. Both groups, resolved and unresolved, were analyzed using three measures,-- 1) Experiencing scale; 2) Structural Analysis of Social Behavior, and 3) Vocal Quality Scale. Using these measures, the groups were divided into the three phases of conflict resolution--opposition, merging and resolution. In Gestalt, therapy, the client engages in a dialogue with himself to explore the two sides of the conflict. He usually moves from one chair to another, these chairs are known as the "experiencing" and "other" chair. In this study each chair was analyzed independently. The main hypothesis, that resolution events exhibit specific phase related behaviors that are not evident in non-resolution events, was tested using a number of comparisons. These comparisons between groups, between phases and between the two chairs indicate that the two groups are different and that there are three identifiable phases in a resolution event. The pattern of resolution begins with the two chairs in the opposition phase rejecting each other. This is indicated by a difference in level of Experiencing and uncooperative interaction as measured by S.A.S.B. The merging phase is when the two chairs begin to engage in productive dialogue. The other chair "softens" toward the experiencing chair, as indicated by a change in the vocal quality at the merging point. Also during this phase, the level of experiencing of the other chair increases to the level of the experiencing chair. The resolution phase is identified by the lack of difference between the two chairs; they apparently come together and function as one.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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