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Record W2625744072

Who Wrote the Elder Scrolls?: Modders, Developers, and the Mythology of Bethesda Softworks

2017· article· en· W2625744072 on OpenAlexaff
Rob Gallagher, Carolyn Jong, Kalervo A. Sinervo

Bibliographic record

VenueResearch Portal (King's College London) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsConcordia University
Fundersnot available
KeywordsMythologySociologyStewardship (theology)Media studiesStudioVisual artsPublic relationsPolitical scienceLawArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

This paper considers the part played by modders in shaping Bethesda Softworks’ The Elder Scrolls series of roleplaying games. It argues that Bethesda’s stewardship of the franchise over the course of its twenty year history has been characterised less by an unwavering creative vision than a willingness to make use of the resources to hand - not least the inventiveness of modding communities. Charting how Bethesda employees and the games’ modders have performed and discussed their respective roles, we track shifts in the tools, vocabularies, aims and approaches of both parties. We find that while the practices and priorities of modders and developers have, in<br/>many respects, converged over this period, crucial legal and conceptual distinctions continue to separate professionals from amateurs. Valve’s abortive attempt to introduce paid mods to The Elder Scrolls V: Skyrim threw this division into stark relief, emphasising the need for studies of modding which address the performativity of intellectual property, showing how conceptions of authorship and ownership develop over time within specific studios, cultures and publics.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.008
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.055
GPT teacher head0.375
Teacher spread0.320 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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