MétaCan
Menu
Back to cohort
Record W751203297

FROM MORAL CONDEMNATION TO ECONOMIC STRATEGIES: REFRAMING THE END OF THE BRITISH TRANSATLANTIC SLAVE TRADE

2014· dissertation· en· W751203297 on OpenAlexfundno aff
Marlene Santin

Bibliographic record

VenueMacSphere (McMaster University) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsnot available
FundersMcMaster University
KeywordsCognitive reframingPolitical scienceEnvironmental ethicsEconomicsPolitical economyPsychologyPhilosophySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Why did Great Britain abolish the transatlantic slave trade in 1807, after a nearly twenty-year social movement campaign to end it? This question still continues to puzzle scholars despite the vast amount of historical research conducted on the subject since the beginning of the twentieth century. In this dissertation, I use social movement theory and a two-tiered empirical approach to examine British slave trade abolition. Systematic qualitative and quantitative analyses of the legislative debates on the slave trade underscores the importance of abolitionists’ rhetorical strategies and the economic utility of Britain’s departure from the trade. A frame analysis of abolitionists’ speeches made during the parliamentary debates suggests that a law to end the slave trade was passed when abolitionist MPs deliberately reframed their ideological campaign to include an increased number of economic pleas in their arguments. Drawing on key aspects of social movement theory, I examine the relationship between resource mobilization, cultural framing and opportunity structures (both political and non-political) and British abolition. My findings suggest that cultural, economic and political factors help to explain why the British slave trade was finally abolished.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.815
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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 head0.013
GPT teacher head0.230
Teacher spread0.218 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueMacSphere (McMaster University)Same topicRussia and Soviet political economyFrench-language works237,207