Analysis of alternative dispute resolution techniques: Apparent future of legal dispute
Bibliographic record
Abstract
The Alternative Dispute Resolution, commonly known as ADR, comprises multiple informal processes. Traditional processes of negotiation, mediation and arbitration are primary processes within the system of ADR. The elements of the primary processes have been combined with one another or with those of public process to form hybrid ADR processes original only to the system of ADR. Under the auspices of ADR, derivative processes have also been developed, such as expedited arbitration, documents-only arbitration, final-offer arbitration and quality arbitration. Each process is distinct and separate, having its own unique form, function and method of transforming a dispute. Outwardly, this represents a diverse collection of disjunctive processes. ADR is conceptualized as a pluralistic system of dispute resolution that consists of autonomous and individual systems of process that conform to a central body of general theory and consensual principles. As a method of extracting the fundamental principles of ADR, the discontinuities and continuities between the theory and principles of civil procedure, as a unitary system of procedure, and ADR processes are explored. However, in its conclusions, the paper rejects the premises of a unitary system of procedure as forming the basis for the theory and principles of ADR. Instead, the contrary notion is advanced that ADR is an independent system of dispute resolution which is based on a theory of processual pluralism and supported by cogent processual principles.
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 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 | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".