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Record W4250046218 · doi:10.1002/9781118430873.est0852

<scp>I</scp> nnis, <scp>H</scp> arold

2017· other· en· W4250046218 on OpenAlexaffabout
Darryl Burgwin

Bibliographic record

VenueThe Wiley-Blackwell Encyclopedia of Social Theory · 2017
Typeother
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMateriality (auditing)Space (punctuation)Social mediaAdvertisingComputer scienceSociologyCommunicationEpistemologyBusinessWorld Wide WebArtAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Harold Innis (1894–1952) was a Canadian political economist and media theorist who offered an historically informed understanding of the materiality of media of communication. For Innis, communication is not just about the meaningful content of a message but also the physical form the message takes and the means by which it is sent. The unique qualities of a medium of communication influence the content and extension of that knowledge in time and space and therefore the medium helps to shape the society in which that medium plays a significant role. For Innis, a medium cannot be reduced to the technological device but must be understood as a complex form of social organization that works on the axes of both time and space.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.803
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.002
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1970.081

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 head0.020
GPT teacher head0.299
Teacher spread0.279 · 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.

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
Published2017
Admission routes2
Has abstractyes

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