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Record W4411442536 · doi:10.26686/wgtn.29367653

The Making of New Zealand's Hansard 1854 - 1992

2025· dissertation· en· W4411442536 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicNew Zealand Economic and Social Studies
Canadian institutionsnot available
FundersMcGill University
KeywordsParliamentLegislatureGovernment (linguistics)Style (visual arts)Political scienceHistoryPublic administrationLawMedia studiesSociologyPolitics

Abstract

fetched live from OpenAlex

This is a historical study of New Zealand’s Hansard, beginning with its origins (British parliamentary reporting) but focusing more on how the idea of impartial, accurate reporting transposed itself on to New Zealand’s shores, when Parliament first met in Auckland in 1854, and continued to evolve into the early 1990s. Five separate but related histories of Hansard resulted from the research underpinning this study: Hansard’s origins, its institutional frameworks, its readership, how it was staffed, and how it was edited. The thesis concludes that New Zealand’s Hansard was inspired by the British system of parliamentary reporting but adaptation to local circumstances required looking more to Australian reporting models. With no model of indigenous representation to draw on, Hansard in New Zealand was constituted as a monolingual publication, but over time individual words and phrases in te reo Māori were included. Full inclusion occurred only from the late 1980s. Until the 1950s, Hansard’s editorial policies were shaped by decisions made by multiple parties (select committees, Chief Reporters, Speakers, Clerks of the House, the Government Printer, and Ministers in charge of the Legislative Department) and the editorial discretion applied by reporters and editors. The Legislative Council had minimal influence, in that regard. It was only in the 1950s that the British “substantially verbatim” reporting style was adopted in New Zealand. By the early 1990s its days were numbered as the evolution towards a more verbatim reporting style accelerated. The study addresses two gaps in New Zealand’s book history: the lack of research on the vast publishing enterprise of the public sector and the absence of a published history of New Zealand’s Hansard. While Hansard has long been relied on for historical and other research, its own history has rarely been interrogated. For that reason, scholarship is slim and rests on two ideas. The first questions Hansard’s reliability, because it is not a truly verbatim report. The second is more problematic, because it challenges Hansard’s authenticity and relevance; it is the sense that Hansard is best understood as a relic of colonialism and its ideological underpinnings must be deconstructed before it can be used. This thesis concludes that Hansard content is reliable and identifies how modern-day users of historical Hansards can avoid any pitfalls that arise from the circumstances of its making. But it argues that any such flaws need to be understood within the context of their times: lack of sound amplification and recording, a modest level of funding, and the reliance for 130 years on the skills of shorthand reporters. By revealing the role of the individuals who shaped the content and style of the published debates, and the way Hansard developments mirrored societal changes, this thesis concludes that Hansard’s “flaws” are best understood and valued as historic markers of its creation, rather than as a reason to devalue its relevancy for historical research.

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)0.021
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: Other · Consensus signal: Other
Teacher disagreement score0.541
Threshold uncertainty score0.924

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0090.011
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0020.003
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 head0.036
GPT teacher head0.255
Teacher spread0.219 · 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
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
Published2025
Admission routes1
Has abstractyes

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