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Record W7132340900

37 Interactive Entertainment: A Gaming Company with a Sustainable Development Strategy

2023· other· W7132340900 on OpenAlexaff
Wei 杨蔚, 曹之静

Bibliographic record

VenueCEIBS Institutional Repository · 2023
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsSustainable developmentSustainabilityWork (physics)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

作为一家非高耗能、高污染的游戏公司,三七互娱已经在碳减排的方向上探索多年。从领先行业的内部碳核算、制定碳中和目标,到后来参与绿电交易、开发环保主题功能游戏,包括曾开天在内的公司管理层一直在思考如何更好地践行碳排放社会责任议题,尤其是如何利用游戏公司的优势发挥更大的社会影响力。他与董事会的可持续发展管理工作组也一直在讨论,如何更好地将企业整体战略与社会责任有机结合,贯彻到业务开发和日常运营中去。

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.005
Scholarly communication0.0220.006
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0930.009

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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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