MétaCan
Menu
Back to cohort

Terms of Use the Private Version of Protected Works Comparative Study

2013· article· en· W1854538835 on OpenAlexvenueno aff
Saleem Isaaf Alazab, Ahmed Adnan Al-Nuemat

Bibliographic record

VenueCanadian social science · 2013
Typearticle
Languageen
FieldComputer Science
TopicLaw, AI, and Intellectual Property
Canadian institutionsnot available
Fundersnot available
KeywordsWorkbookSanctionsLawScope (computer science)Work (physics)LegislationNoticeComputer scienceInternet privacyLaw and economicsPublic relationsSociologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The authorities deem that for the author to make his/her work exclusive and yield full benefit from it the following terms used in the version must be complied; the scope of the works must be permitted by the law and the works should not be banned because of being criminal. These terms imply that other people will require author’s permission for compiling the work or for making a copy of his work. When it comes to the personal use of the work or by the domestic-user version of the workbook that is contained by the framework these conditions are applicable only. Both the French and Egyptian lawmakers broadcast the predictability of predisposition in normal use for the workbook, as the cloning process of workbooks that are of special nature cause massive losses that is why they are not included in the scope of the exception personal version to prevent others from getting a copy of it unless the controls and conditions for use of these works are taken into consideration. This legislation is applicable to the works of art; notepad based musical works, computer programs and databases. The personal versions when of legitimate size they cannot damage the author’s privilege but when the copy exceeds the confines of the legitimate size huge loss to copyright is incurred. It the workbook in is being used for friendly collective of the work as mentioned by the framework it sanctions the use if it is not targeted for purposes like commercial purposes, making profit from it and to compete for economic purposes. Key words: Copyright; Private version; Protected works; Copyright law of Egypt; Copyright law of France

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.175
Threshold uncertainty score0.585

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0030.004
Scholarly communication0.0100.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1750.026

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 head0.041
GPT teacher head0.250
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCanadian social scienceSame topicLaw, AI, and Intellectual PropertyFrench-language works237,207