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Upstream and Downstream Negotiation Research

2012· book-chapter· en· W354370076 on OpenAlexaff
Leigh Thompson, Brian Lucas, Erika V. Hall

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsNegotiationDownstream (manufacturing)MidstreamUpstream (networking)ReputationBusinessPolitical scienceKnowledge managementEngineeringComputer scienceMarketingTelecommunicationsLawPetroleum industry

Abstract

fetched live from OpenAlex

Abstract This article argues for expanding the research focus in the field of bargaining and negotiation. It discusses three different research vantage points in negotiation, which are referred to as upstream, midstream, and downstream research. It also reviews six areas of potentially fruitful upstream research: negotiability, negotiation threshold, preparation competency, choosing a team, networks, and reputation. It is argued that the realization that negotiation is an option, the decision to negotiate, preparation, and reputational concerns constitute meaningful effects in the study of negotiation. Moreover, it reviews four downstream areas: commitment, learning and insight, rebound/recovery, and collateral damage. By expanding the research focus to upstream and downstream research, the possibility of new research vistas is offered. Extending research on the upstream and downstream of negotiations will also strengthen the understanding of not only how negotiators operate but whether and when, and will highlight potentially unanticipated consequences of negotiation that were previously unexplored.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.995
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.091
GPT teacher head0.299
Teacher spread0.207 · 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
GenreOther

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

Citations2
Published2012
Admission routes1
Has abstractyes

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