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Record W2052471825 · doi:10.1177/1464884911412844

Science blogs as boundary layers: Creating and understanding new writer and reader interactions through science blogging

2011· article· en· W2052471825 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

VenueJournalism · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAffordanceBoundary (topology)Boundary-workPhenomenonSociologyEpistemologyComputer scienceWorld Wide WebSocial scienceHuman–computer interactionMathematics

Abstract

fetched live from OpenAlex

This study examines the affordances that journalistic science blogging offers at the boundaries between science communicators, researchers, non-scientists, and other readers. Taking a framework of boundary phenomena, it examines, as a case study, the blog Not Exactly Rocket Science and in particular two posts that spawned a collaboration between a scientist and a farmer. Two existing boundary phenomena, boundary objects and boundary organizations, are examined as possible models for understanding the interactions facilitated by this science blog. These existing phenomena are argued to not adequately account for and describe the interactions between people and information facilitated by the case study posts. To better understand science blogging boundaries, a new category of boundary phenomenon – the boundary layer – is proposed.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.708
GPT teacher head0.503
Teacher spread0.205 · 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