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Record W7037720745

An evaluation and application of the minimum requirements method of economic base analysis to the delineation of the functional structure of New Zealand urban places, 1971 : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Geography at Massey University

2017· dissertation· en· W7037720745 on OpenAlexaboutno aff

Bibliographic record

VenueMassey Research Online (Massey University) · 2017
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Measure (data warehouse)Urban structureMacroPopulationEconomic base analysisRegression analysisOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

The basic-nonbasic dichotomy of functions performed by urban places, their relative importance in ensuring the existence and continued growth of urban places, and the problems encountered in their identification and measurement have been examined within the conceptual framework of the economic base concept. One of the indirect or macro methods of economic base analysis which has been used in the identification and measurement of the basic and nonbasic functions performed by urban places, namely the minimum requirements method and its variants, has also been examined and evaluated in order to provide a theoretical and methodological framework for the application of the second variant of the method to 82 New Zealand urban places. On the basis of the Department of Labour's April, 1971 half-yearly survey of employment statistics, the second variant of the minimum requirements method as developed by Ullman and Dacey and refined by the use of least-squares linear regression equations and their associated regression lines which systematically correct the results obtained for variations in urban place population size, has been used to identify and measure the basic and nonbasic functions performed by New Zealand urban places. Using the basic functions, which are generally considered predominantly of economic significance, as a quantitative measure of the extent to which each of the industrial categories represented in the employment structure of an urban place constitute an economic specialisation of the urban place; the complex of specialised functions characteristic of each urban place in New Zealand has been used to delineate the functional structure of the urban place. To clarify these results and provide a comparative indicator, reference has been made to several direct or micro economic base studies which have applied the sales-employment conversion method of economic base analysis to individual New Zealand urban places, and to a number of overseas economic base studies which have applied the minimum requirements method and its variants to various national and regional systems of urban places. Finally, to obtain an overview of the New Zealand urban scene the basic functional structures of New Zealand urban places have been characterised and classified. Each urban place's dominant function, its distinctive functions, and its degree of functional specialisation have been determined to achieve this end in a similar manner to Maxwell's functional classification of Canadian cities. The results of this classification have been presented in tabular and cartographic form, discussed in terms of their spatial patterns and statistical aspects, and compared with several functional classes derived by Pownall in his earlier functional classification of New Zealand towns. The overview gained indicates the predominantly multi-functional basic character of the functional structures of New Zealand urban places.

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)0.030
metaresearch head score (Gemma)0.127
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.127
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.146
GPT teacher head0.347
Teacher spread0.201 · 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 designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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