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Record W4401745195 · doi:10.1515/9789048555925

Collaborative Research in the Datafied Society

2024· book· en· W4401745195 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

VenueAmsterdam University Press eBooks · 2024
Typebook
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
FundersFP7 International CooperationEconomic and Social Research CouncilUniversity of California, Los AngelesDeutsche Gesellschaft für Internationale ZusammenarbeitBundesministerium für Wirtschaftliche Zusammenarbeit und EntwicklungState Government of VictoriaNederlandse Organisatie voor Wetenschappelijk OnderzoekUniversiteit UtrechtUniversity of California, DavisInternational Development Research Centre
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

Datafication is profoundly changing societies, often in concerning ways.It also opens possibilities for critical social action, so far little explored.This groundbreaking collection convenes a terrific range of leading international writers to showcase collaborative research into this important phenomenon."

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 categoriesScholarly communication, Open science
Consensus categoriesOpen science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.642
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0040.007
Open science0.0110.009
Research integrity0.0000.002
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 head0.161
GPT teacher head0.367
Teacher spread0.207 · 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