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Record W7024059608

Power and Negotiation

2000· book· en· W7024059608 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationPower (physics)Work (physics)Resource (disambiguation)Symmetry (geometry)
DOInot available

Abstract

fetched live from OpenAlex

The volume produces new findings about the concept of power and about its applications in negotiations. Rejecting the notions of power as a resource and power as an ability, the work defines power as an act that is designed to cause another party to move in a desired direction, thus separating the concept both from its source and from its effects and leaving it open to much more detailed analysis. At the same time, this book examines perceived power on the basis of which symmetries and asymmetries in the relations between parties can be identified. \n\nAs I. William Zartman and Jeffrey Rubin argue, negotiations between countries that are not equal in power tend to be more efficient and effective than during symmetrical negotiations. When weaker and stronger parties are negotiating, each knows its role and is able to get appropriate benefits in the agreement. In cases of symmetry or near symmetries the countries, whether equally weak or equally strong, tend to spend most of the time maintaining their status and allowing inordinate amounts of time to pass before reaching an agreement. These conclusions run counter to the most accepted wisdom of negotiations they do confirm evidence from careful experiments. \n\nThe volume looks at negotiations with clear asymmetry (the Canada-U.S. free trade agreement, U.S.-Egyptian aid, U.S.-Indonesian aid, E.C.-Andorra trade association, Nepal-India water resource agreement, and the North-South coalitions at the United Nations Conference on Environment and Development), two cases of symmetry (the Mali-Burkina Faso armistice negotiations and the U.S. Chinese armistice negotiations in Korea), and one mixed situation (Arab-Israeli peace negotiations). The book concludes with a careful examination of lessons for practice and lessons for theory.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.517
Threshold uncertainty score0.987

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.263
Teacher spread0.251 · 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.

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

Citations0
Published2000
Admission routes1
Has abstractyes

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