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Record W7000326325

Environmental health in Nova Scotia : a framework for moving forward / by Stephen Parker.

2017· other· en· W7000326325 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Articular cartilage damageGestational periodHyporeflexiaDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

In 2006 the Province of Nova Scotia released a report entitled The Renewal of Public \nHealth in Nova Scotia. This report served as a comprehensive overview of opportunities to \nenhance public health services in the province. The overall intent was to demonstrate the need to \nelevate public health from the shadow of the traditional acute care model of health care delivery. \nThis report identified deficiencies with existing structure, function and responsibilities, and \nincluded broad recommendations for addressing these issues. One of the areas of concern relates \nto the Environmental Health profession, and the fragmented approach to service delivery and \ngovernment oversight in the province. As the result of an uncoordinated structure of several \ndepartments contributing to safeguarding the health and safety of its citizens, many areas of \nenvironmental health have become under-addressed or completely unaddressed. \nThis project builds upon The Renewal of Public Health in Nova Scotia report. It outlines \na proposal for how Environmental Health can move forward and be effectively managed across \nmultiple departments / agencies. It identifies a number of strategies related to collaboration, \npriority setting and core competency skill development to strengthen the overall approach to \nhealth protection. Finally, it also demonstrates the value of combining diverse knowledge, \nstrengths and skills to enhance decision-making and service delivery for the protection of \nenvironmental public health.

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)0.006
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.116
Threshold uncertainty score0.460

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0100.009
Scholarly communication0.0100.003
Open science0.0020.008
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.028
GPT teacher head0.272
Teacher spread0.243 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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