Bibliographic record
Abstract
An increasing number of negotiations are conducted via electronic media allowing for an extensive use of software in negotiators' activities. Traditionally, negotiation support was based on normative and prescriptive research; its users were analysts and experts. The purpose of the recently developed e-negotiation systems is to provide negotiators with services and to satisfy their requirements rather than direct their activities so that they conform to rationality and optimality principles. This orientation is typical to software engineering. Dueto the difficulties in reconciling results of prescriptive and descriptive studies the e-negotiation design specifications are often based on selected descriptive approaches at the expense of the prescriptive support. This paper presents selected results from negotiation and e-negotiation research and provides specifications for e-negotiation system design and development. Based on review of methodological foundations and a media reference model an e-negotiation view integration model that integrates behavioural, scientific and engineering views on e-negotiation support and media reference mode is proposed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".