Netradiční označení a ochranné známky
Bibliographic record
Abstract
(Eng) The submitted master's thesis discusses non-conventional signs and trade marks, which have grown in significance, especially from the perspective of marketing, traders and law, as was demonstrated by the recent amendments of the European trade mark law. The main aim of this thesis is to identify the particularities of non-conventional signs and obstacles to their registration from the perspective of the selected jurisdictions and consequently, to evaluate the reasons and justifications of the countries' approach. After a historical overview of trade mark functions and the development of law in the studied jurisdictions, the thesis is concerned with outlining the theoretical legal basis of trade mark protection in the European Union, Canada, Australia and the United States of America. The main focus of the thesis lies in the specific effects of the law on the individual types of non-conventional signs and trade marks, with a particular emphasis on the decisions of offices and courts, especially the Court of Justice of the European Union. The analysis includes sounds, scents, shapes and colours, as well as motion marks, holograms, position marks and tactile signs. The main part of the thesis is subdivided into several sections in order to grasp the particularities and singularities of each type...
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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 teacher head, 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".