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Record W7128345068

Alternative Dispute Resolution

2012· dissertation· cs· W7128345068 on OpenAlexaboutno aff
Marie Pardamcová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2012
Typedissertation
Languagecs
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationDispute resolutionAlternative dispute resolutionQuarter (Canadian coin)MediationCzechPayment
DOInot available

Abstract

fetched live from OpenAlex

The project of ?Alternative dispute resolution? imports an innovative and effective instrument of consumer protection to the Czech Republic. The ADR works in Czech Republic since 2008. The whole procedure is easy and it is not obligatory for adverse parties. There are three methods of disputes resolution: qualified counsel, mediation and arbitration. Concerning mediation, the problem is the willingness of the procedure. That is the reason, why more than 80 % of delivered suggestions end with non-cooperation from the adverse party. Even if an agreement were found during the mediation, this agreement is not binding. Arbitration is on payment and most of the consumers identify it with the juridical process. But in case of arbitration, the resulting arbitration award is binding for both adverse parties. The fee is paid by the party who has lost the dispute. The work focuses above all on the awareness of ADR and on consumers´ rights. The work revealed that a quarter of all respondents don´t know their rights. The awareness of ADR is very poor also. The research results showed that only 14.4 % of respondents know what ADR is. Nevertheless, the results from the period of 1st April 2011 to 31st January 2012 show, that the project has a future, because the statistics of registered cases have a rising tendency. But without an effective publicity, it will take a long time before the consumers´ awareness of this possibility extends. The Ministry of industry and commerce issued an informative leaflet within the pilot period of the project. However, it was not distributed to the consumers in the right way. In the Czech Republic, there is a lack of consumers´ education due to a difficult access to legal regulation. The legislation is for a Czech consumer hardly findable but above all, it is incomprehensible. Nowadays, fortunately there exist a lot of web sites where all needed information can be found rapidly and in a shorter version. Due to my own experience I know, that an overwhelming majority of consumers looks for advices only after they did not succeed with a claim or after another problem with a vendor occurred.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0040.010
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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
Published2012
Admission routes1
Has abstractyes

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