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Record W4401101887 · doi:10.3998/mij.6292

Title Pending 6292

2024· article· en· W4401101887 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

VenueMedia Industries · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This is an accepted article with a DOI pre-assigned that is not yet published.[A] The business dynamics of scripted drama and comedy production have changed considerably in the last two decades. Once based in domestic-first sectors, the business has become predominantly international in ownership (Chalaby 2005) and in terms of imagined audiences (Athique 2017; Lotz 2025). This special issue collects accounts that analyse these changes from different markets around the globe to identify patterns and underlying conditions that account for differences among experiences. Although the pattern toward drama reach is global, the implications of this industrial change vary significantly market to market and can best be understood by accounts specifically grounded national dynamics (see Lotz and Lobato 2023; Lotz and Kang 2024; NB both these collections foreground streaming whereas this special issue explores the dynamics of drama/comedy production and its ties with national culture). The articles present an account of how scripted drama production has changed in the last two decades and the implications of those changes for different national industries, systems of regulations, and public service traditions. The introduction to the section will frame the general industrial changes and provide analysis that places the individual articles in conversation in order to uncover patterns in experience and identify their causes. The articles explore factors such as: ·      How have levels of production changed relative to historical norms? ·      What is the role of streaming services in commissioning drama and how has the role of linear television channels changed as a result? ·      To what extent are international collaborations and co-productions being used and how is this different from previous norms? ·      What is the state of advertising spending in the market and what implications have decreases had on the sustainability of existing ad-reliant services, such as commercial television? Has drama/comedy commissioning been particularly affected by shifts in the ad-funded television business? ·      What narrative trends and innovations in drama made for linear and streaming services have emerged? Can they be tied to shifting industrial conditions? ·      What is the role of public service broadcasters in national storytelling in the market, and how is that role evolving relative to broader shifts? ·      To what extent can changes be tied to whether dramas are addressing the demand for culturally diverse and inclusive representation on screen and behind the camera? ·      To what extent can regulatory and funding circumstances that support drama made first and foremost for domestic audiences be identified to influence developments? [B] We organized a well-attended workshop for the Media Industry Conference 2024 on this topic and have first invited those panellists to submit articles. Depending on the number of commitments, we will invite other submissions from colleagues known to work on this topic with an aim of adding further diversity to the markets explored (geographically; in terms of a history of national drama/comedy production; professional rank of authors). Our preliminary invitations will lead to articles on Australia, Canada, Denmark, Norway, South Korea, and the UK. We have subsequent contributors with expertise on Brazil, Bangladesh, Poland, Turkey, Spain, and Japan in mind, with an aim of 8-9 articles. We are aware of the costs involved with more than 35,000 words. We would target June 2025 as a submission date for review of the articles.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.006

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 head0.099
GPT teacher head0.334
Teacher spread0.235 · 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