MétaCan
Menu
Back to cohort
Record W2287556100 · doi:10.1057/9780230536685_7

New Zealand in the Depression: Devaluation without a Balance-of-Payments Crisis

2003· book-chapter· en· W2287556100 on OpenAlexaboutno aff
John Singleton

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2003
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsDevaluationBalance of paymentsDepression (economics)Great DepressionPer capitaPopulationEconomicsEconomyGeographyEconomic historyInternational economicsDemographyCurrencyMonetary economicsSociologyKeynesian economics

Abstract

fetched live from OpenAlex

New Zealand, with a population of less than two million souls, was the smallest, except for Newfoundland, of the politically independent British dominions in the 1920s and 1930s. New Zealand enjoyed one of the highest levels of income per capita in the world; the efficiency of its live-stock industry was unsurpassed; and its state was a pioneer of social reform. Economically, the ties between New Zealand and Britain were extremely strong. Eighty per cent or more of the country’s exports, which consisted of wool, meat, and dairy produce, were regularly consigned to the mother country. It is clear that the Depression was transmitted to New Zealand by falling commodity prices in the British market. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.331
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.041
GPT teacher head0.304
Teacher spread0.263 · 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 designNot applicable
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

Citations3
Published2003
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan UK eBooksSame topicAustralian History and SocietyFrench-language works237,207