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The image of science: how people percept S&T achievements

2007· article· en· W2070312884 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueForesight-Russia · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptImage (mathematics)Computer sciencePsychologyArtificial intelligenceNeurosciencePerception

Abstract

fetched live from OpenAlex

In the previous issue we examined in detail the "image" of science that has emerged among the Russians at the beginning of XXI century. In this case, we presented relatively contradictory views of the widest strata of the population: on the need for state support of science on research priorities (economic development, improved healthcare and education, the environment and strengthening national defense); on unfairly low prestige of scientists as compared with other professions but at the same time on the positive attitudes to academic careers of their own children; about sluggishness of innovative behavior and the negative impact on him by the media. The four general attitudes - "paternalism", "faith in science", "technicism" and "syndrome of crumbling science." It should be noted that the "faith in science" approach is manifested in the form of strong scientistic positions and hopes for it in instrumental terms, but it is not supported by personal cognitive interest. We try to illustrate it in this publication. The article presents the results of six Russian representative opinion surveys conducted in 1995-2006. For international comparisons we use data from surveys implemented in the countries of the European Union, published in special Eurobarometer reports and materials from the report by the National Science Foundation, reflecting the results of similar surveys in the United States, Canada, Japan, Korea, China and Malaysia.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.007
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.350
Teacher spread0.333 · 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