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Record W4390063187 · doi:10.14220/9783737016391.237

„Mali“ – Dispositivanalyse einer Social Media Kampagne der deutschen Bundeswehr

2023· book-chapter· de· W4390063187 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueV&R unipress eBooks · 2023
Typebook-chapter
Languagede
FieldSocial Sciences
TopicIntellectual Property Rights and Media
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsLicenseDownloadPermissionAttributionLibrary sciencePolitical scienceCommonsInternet privacyLawArtWorld Wide WebComputer sciencePsychology

Abstract

fetched live from OpenAlex

Im Herbst 2017 veröffentlichte die deutsche Bundeswehr auf YouTube,Instagram,Snapchat und Facebook die Social Media-Serie ‚Mali'.In29Episoden der in ‚Echtzeit' erzählten Serie sind achtSoldat*innen zu sehen: vonder deutschen Kaserne bis in den westafrikanischen Auslandseinsatz und zurück begleitet eine Kamera die Protagonist*innen,

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.007

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 head0.288
Teacher spread0.188 · 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