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Record W6950712163 · doi:10.5683/sp3/dklflr

Understanding apartment resident perceptions of coastal landscapes and adaptation options around the Minas Basin, Nova Scotia, 2023.

2024· dataset· en· W6950712163 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsDiscovery Air (Canada)Dalhousie University
Fundersnot available
KeywordsApartmentBayPerceptionPublic usePermissionNova (rocket)Structural basin

Abstract

fetched live from OpenAlex

These data were collected through an online survey hosted on Qualtrics software. The survey was designed to understand perceptions and use of coastal landscapes, specifically dykes, dykelands, and tidal wetlands, along with perceptions of coastal adaptation options, among residents of the Minas Basin region of Nova Scotia, around the Bay of Fundy. Recruitment was conducted in November/December 2023 through a single Canada Post admail mailout of all apartment residents in Kings, Hants, Cumberland and Colchester counties (approximately n=9057) with a response rate of 1.9% (n=168), recognizing that undeliverables could not be tracked. Participants were rewarded with the option to enter to win a Tim Horton's or Irving gift card. Permission to make data public was a condition of participation, and all 'free text' questions have been removed to avoid the possibility of identification.

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)0.003
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.129
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.005

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 head0.079
GPT teacher head0.302
Teacher spread0.222 · 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
GenreDataset

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
Published2024
Admission routes2
Has abstractyes

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