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Record W2139126288 · doi:10.1002/geo2.8

Towards a study of information geographies: (im)mutable augmentations and a mapping of the geographies of information

2015· article· en· W2139126288 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGeo Geography and Environment · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsnot available
FundersEuropean Research CouncilInternational Development Research Centre
KeywordsRepresentation (politics)BespokePoliticsSociologyNarrativeEconomic geographyData scienceGeographyComputer scienceLinguisticsPolitical science

Abstract

fetched live from OpenAlex

Information has always had geography. It is from somewhere; about somewhere; it evolves and is transformed somewhere; it is mediated by networks, infrastructures, and technologies: all of which exist in physical, material places. These geographies of information about places matter because they shape how we are able to find and understand different parts of the world. Places invisible or discounted in representations are invisible in practice to many people. In other words, geographic augmentations are much more than just representations of places: they are part of the place itself; they shape it rather than simply reflect it. This fusing of the spatial and informational augmentations that are immutable means that annotations of place emerge as sites of political contestation: with different groups of people trying to impose different narratives on informational augmentations. This paper therefore explores how information geographies have their own geographic distributions: geographies of access, of participation, and of representation. The paper offers a deliberately broad survey of a range of key platforms that mediate, host, and deliver different types of geographic information. It does so using a combination of existing statistics and bespoke data not previously mapped or analysed. Through this effort, the paper demonstrates that in addition to the geographies of uneven access to contemporary modes of communication, uneven geographies of participation and representation are also evident and in some cases are being amplified rather than alleviated. In other words, the paper comprehensively shows one important facet of contemporary information geographies: that geographic information itself is characterised by a host of uneven geographies. The paper concludes that there are few signs that global informational peripheries are achieving comparable levels of participation or representation with traditional information cores, despite the hopes that the fast‐paced spread of the internet to three billion people might change this pattern.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.017
GPT teacher head0.227
Teacher spread0.210 · 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