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Record W2040718664 · doi:10.1080/00330124.2012.693873

Tweet Me Your Talk: Geographical Learning and Knowledge Production 2.0

2012· article· en· W2040718664 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

VenueThe Professional Geographer · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsThe InternetReading (process)Production (economics)World Wide WebEphemeral keyKnowledge productionComputer scienceData scienceSociologyKnowledge managementPolitical science

Abstract

fetched live from OpenAlex

We are in a Gutenberg moment in which we are migrating from book reading to Internet browsing. We are subtly shifting to more ephemeral, summary methods of learning and producing knowledge, shaped by how we consume information on the Web. Thus, a strong determinant of learning might be the very technology that hosts the information, such that technology is both the arbiter of our understanding of the world and how we come to gain that understanding. Based on recent evidence that the Internet is reshaping our learning processes, I argue that geographical knowledge production and translation are not so much products of individualism but rather shaped by rapidly changing work styles that favor concise and highly accessible methods of academic production. I offer examples of changes in journal formats, academic social networking, and academic reviewing to reveal that we are catering to shorter attention spans that prefer to browse.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.343
Teacher spread0.312 · 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