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Record W3187658454

콘텐츠 산업 근로시간 규제 및 단체협약에 관한 주요국 사례검토 — 영국, 미국, 캐나다, 프랑스, 독일 —

2019· article· ko· W3187658454 on OpenAlexaboutno aff
김창욱, 이상규

Bibliographic record

Venue노동법논총 · 2019
Typearticle
Languageko
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Working timeWork (physics)ConfusionProductivityBusinessCollective agreementBalance (ability)Content analysisPolitical scienceCollective bargainingLawEconomicsEconomic growthEngineeringSociologyFinanceMedicinePsychology
DOInot available

Abstract

fetched live from OpenAlex

The Korean content industry has long been exempt from working time regulations due to the creative nature of the profession. However, in promulgating an amendment to the country’s 1997 Labor Standard Act, the exemption of the working time regulations for this industry was revoked in 2018. Even though the amendment slashes the maximum weekly work hours to 52 from 68 hours—in order to improve work-life balance among its workers and enhance labor productivity—many conflicts and much confusion still exist, because more realistic and concrete institutional measures are not yet supported. In this regard, this research aims to examine how major North American and European countries including the U.K, U.S, Canada, France and Germany implement their working time regulations for the content industry by focusing on the collective agreements between their major content industry unions and employers. In order to systematically examine each country’s collective agreements between its major unions and employers, this study analyzes the issue through six different comparative analysis frames: 1) whether the content industry is classified as an exemption from the working time regulations; 2) how the work time is defined; 3) whether there is an agreement on the maximum daily working hours; 4) whether there is an agreement on the maximum weekly working hours, 5) how the issue of criminal punishment and treatment in the case of violation of the given agreement is treated; and 6) who represents the main parties of the agreement. Based on this comparative analysis, the study then scrutinizes the collective agreements of Broadcasting, Entertainment, Cinematography and Theatre Union (BECTU) in the U.K, Directors Guilds in America (DGA) in the U.S, the Alliance of Canadian Cinema, Television and Radio Artists (ACTRA) and Canadian Media Guilds (CMG) in Canada, Les Monteurs Associes in France, and TV FFS and NV Buhne in Germany. Regardless of differences among the sampled countries, this research reveals three main trends and major characteristics commonly found in terms of 1) insurance of workers' rights, 2) enhancement of regulative flexibility reflecting the specificity of the content industry, and 3) securing of the autonomy and effectiveness of collective agreements. Based on these findings, the research suggests four policy implications for working time regulations for the Korean content industry. Firstly, it is necessary to more clearly establish the definition and the criteria of working time to ensure workers’ rights. Secondly, a more flexible regulative system should be applied by considering the specificity of each field of the content industry. Thirdly, it is practically difficult to create detailed guidelines of working time regulations covering all the sub-fields of the content industry, so the government needs to consider how to encourage and secure more collective bargaining and agreements within the content industry. Finally, it is necessary to strengthen the effectiveness and regulatory power of the working time regulation

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.016

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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