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Record W338094677

The Great Powers and the International System: Systemic Theory in Empirical Perspective

2013· article· en· W338094677 on OpenAlexvenueno aff
Howard A. Doughty

Bibliographic record

Venue˜The œinnovation journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipSociologyEpistemologyPerspective (graphical)Social scienceLawPolitical scienceMathematicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Bear F. Braumoeller The Great Powers and the International System: Systemic Theory in Empirical Perspective Cambridge, UK: Cambridge University Press, 2012Reviewed by Howard A. DoughtyThe pedigree of the modern social sciences is more than a century old with origins in the work of people such as Marx, Durkheim and Weber and with ancestors going back at least to Hobbes, and ultimately to Aristotle. Though no one fashion dominates the current array of approaches in academic disciplines such as anthropology, economics, political science, sociology and any number of related areas of scholarship (e.g., geography and history) and sub-disciplines (e.g., public administration, postcolonial studies), important segments of the current enterprise have sought to mimic the natural sciences, provide operational definitions, identify dependent and independent variables, test null hypotheses, deploy ever more sophisticated statistical techniques, generate explanatory theories and, in the process, appropriate some of the status and research funds previously won by their kin in astronomy, biology, chemistry and physics. The venture hasn't always worked out well.One of the several problems with running human studies as a scientific project is the nature of the human beast. Inanimate objects respond to physical forces, people react to perceived differences. Billiard balls, for example, are normally altered in their position by the exchange of kinetic energy. billiards player strikes one ball with another and, if sufficient information is gathered about the mass of the balls, the velocity and angle of impact, the condition of the felt table top and other pertinent physical variables, then it's possible to predict with some precision where the impacted ball will come to rest. People are different.We are information-processing food tubes which do react to physical impacts when, for instance, we are punched in the nose; but, we also respond to more complex stimuli. Sometimes, we even respond to the absence of stimuli, as when we are not invited to a party or when someone doesn't send us a birthday greeting. Moreover, the complicated processes of personality, perception and memory make it all but impossible to anticipate what any particular human being will do in any specific circumstance on any given day.The scientific approach to human studies, of course, is assisted if researchers can point to something to count. Economists have an advantage here, for it is possible to identify uncontested objects to quantify-tons of codfish or pig iron, numbers of people employed in specific industries and import-export ratios expressed in amounts of money. Psychology, especially insofar as it has been associated with the science of medicine, also obtains a certain scientific cache. Moreover, both psychologists and behavioral economists have managed to concoct actual laboratory-like experiments in which subjects can be induced to act badly or, in the alternative, to display empathy. Stanley Milgram (1974) was especially good at the former. Nonetheless, most of our efforts to generate instruments that reliably predict human behaviour fall short of the confidence which laboratory technicians have when they mix chemical A with chemical B. Absent divine intervention, performing the same experiment under the same conditions yields the same results time after time. People are more complicated.Accordingly, some social sciences have lagged behind in the push for scientific standing. Anthropology, except for the subdiscipline of physical anthropology which encourages the measurement of skulls, the assessment of bipedalism and so on, is largely engaged in the job of description and classification. Like geology, paleontology and early stages of biology, it is rather difficult to set up an experiment in evolutionary processes that have long since been completed (though genetics is helping out dramatically in some fields where steps can be taken backward toward, for example, the Mitochondrial Eve. …

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.011
Science and technology studies0.0030.030
Scholarly communication0.0100.018
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.324
Teacher spread0.306 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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Same venue˜The œinnovation journalSame topicInternational Relations and Foreign PolicyFrench-language works237,207