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Record W4206225585 · doi:10.9760/mupoa/9780719061516

Understanding political ideas and movements

2003· book· en· W4206225585 on OpenAlexaff
Tony Boyd, Kevin Harrison

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2003
Typebook
Languageen
FieldSocial Sciences
TopicGlobalization and Cultural Identity
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIdeologyPoliticsPolitical scienceLiberalismSovereigntyPolitical culturePolitical economyDemocracyNationalismLegitimacyLawSociologySocial scienceGender studies

Abstract

fetched live from OpenAlex

Written specifically to cover the A2 component of the GCE Government and Politics A-level, this book is a comprehensive introduction to the political ideas and movements that have shaped the modern world. Underpinned by the work of major thinkers such as Hobbes, Locke, Marx, Mill, Weber and others, the first half of the book looks at political concepts including the state and sovereignty, the nation, democracy, representation and legitimacy, freedom, equality and rights, obligation and citizenship. There is also a specific chapter which addresses the role of ideology in the shaping of politics and society. The second half of the book addresses traditional theoretical subjects such as socialism, Marxism and nationalism, before moving on to more contemporary movements such as environmentalism, ecologism and feminism. The subject is covered in a clear, accessible style, and includes a number of student-friendly features, such as chapter summaries, key points to consider, definitions and tips for further sources of information. There is a definite need for a text of this kind. It will be invaluable for students of government and politics at introductory level.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.014
Scholarly communication0.0120.009
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.275
GPT teacher head0.458
Teacher spread0.184 · 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
GenreOther

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

Citations13
Published2003
Admission routes1
Has abstractyes

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