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POST-PANDEMIC MEDIA SPACE

2020· article· en· W3158245183 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScientific and analytical journal Burganov House The space of culture · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicImpulse Buying and Technology Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsEntertainmentQuarter (Canadian coin)AdvertisingThe InternetAttendanceMovie theaterBusinessSpace (punctuation)PaymentPopularityWork (physics)Internet privacyMultimediaComputer scienceEngineeringPolitical scienceWorld Wide WebHistoryArtVisual arts

Abstract

fetched live from OpenAlex

It is no secret that COVID 19 and its consequences have affected almost all aspects of our life. We have become focused on life at home, the approach to work has changed, and the definition of remote work has taken root in our vocabulary. Despite all the negative aspects, the pandemic has accelerated the development of key technological trends, such as distance learning, telemedicine, remote work, online shopping, contactless payments, 3D printing, which leveled out supply disruptions, robotics, a new generation of 5G mobile communications with its capabilities, and of course, the online entertainment industry. Our consumer preferences have changed during this year; however, the need for entertainment has only increased. Many believe that nowadays, the Internet and television era is a thing of the past; nevertheless, statistics do not confirm this. In the third quarter of this year alone, global TV sales have increased by 12.9% over the same period in 2019, which is 38% more than in the previous quarter. Television viewing has increased, and television program views have skyrocketed. Streaming content has become even more popular; streaming services allow one to watch absolutely everything - movies, TV series, news at any time and from any device. All these processes are connected with the fact that, during the quarantine, cinemas were closed, the attendance of which has already decreased in recent years. They opened with restrictions on viewers’ seating; the premieres were postponed for a year, even two - until the spring of 2021 and 2022. This year, the world of the media and entertainment industry has become: remote, virtual, streaming and personalized. The driver is the consumer, so market players pay great attention to innovation, focusing on personalization. At the forefront of new technologies is the Disney company, which presents its films both in theatrical screenings and on its online platform. Television is also not left behind; on November 3, VGTRK launched its "Smotrim" media platform. The audience’s consumption habits have already changed, interest in media is increasing and moving towards digitalization. The pandemic has accelerated the process. How this is happening and what awaits the industry is covered in this article.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.231
Teacher spread0.199 · 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