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Record W3099318482

Officers of the Assembly and the Ontario Legislature: Reconsidering the Relationship

2020· article· en· W3099318482 on OpenAlexfundaboutno aff
Jocelyn McCauley

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersYork University
KeywordsLegislaturePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Officers of Parliament, or as the are referred to in Ontario, "officers of the Assembly", have emerged within Westminster systems as a recognized tool for enhancing parliamentary oversight and increasing transparency in government. However, in Ontario, the absence of a clearly defined relationship with the provincial legislature has meant that certain officers of the Assembly have felt it necessary to "lobby" individual members and committees, as well as the media, in order to carry out their accountability and oversight functions. This lack of clarity places unnecessary stress on the relationship between independent officers, the Ontario Legislature, and the public sector, and can also negatively impact the public's perception of government overall. 
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\nThis paper looks specifically at the relationship between the Ontario Legislature and officers of the Assembly, in terms of their governance structures, their appearances in legislative committees, and references to their work in House and committee proceedings. It finds that reforms are needed in order to strengthen officers' relationships with the Legislature. Independent officers possess few powers of enforcement and as such, strong ties to the Assembly are necessary to ensure that recommended action is taken by legislators defend public trust and dollars.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.153
Teacher spread0.119 · 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
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
Published2020
Admission routes2
Has abstractyes

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