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Record W6969044750 · doi:10.5443/12119

Canadian Coastal Information System (CIS) - Backshore, Beaufort Sea Coast 1984, 1999 and 2000

2016· dataset· en· W6969044750 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Polar Data Network · 2016
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAerial photographyIntertidal zoneBeaufort seaShoreCoastal erosionBayNatural (archaeology)Coastal zoneStorm

Abstract

fetched live from OpenAlex

Shore-zone classification data for the Canadian Beaufort Sea coast form part of a GIS database, the Coastal Information System (CIS), developed and maintained by the Geological Survey of Canada (GSC-Atlantic), Natural Resources Canada, at the Bedford Institute of Oceanography in Dartmouth, NS. Coastal attributes in the CIS have been interpreted and mapped from low-level, oblique, aerial photography and video imagery with accompanying audio commentary. The CIS is hierarchical in that coastal forms are classified based on four increasingly detailed levels of description. The coastal data consist of line segments with attributes describing the physical form and material at scales ranging from 1:10 000 to 1:250 000. In the CIS, the coast is divided into three shore-parallel zones (backshore, foreshore, nearshore). Each zone is segmented separately based on homogeneous physical characteristics. A glossary has been developed to control the language used to describe each zone. The use of objective physical criteria for coastal classification enhances the utility of the CIS for a wide variety of applications. The backshore is defined as the landward zone lying between higher high-water at large (spring) tides and the upper limit of shore-zone processes; it is acted upon by slope-failure processes, waves, wind, rainfall, or ice and covered by seawater only during severe storms with exceptionally high water levels. It is typically horizontal or rising landward and may be divided from the foreshore by the crest of the most seaward berm. The landward backslope of a spit or barrier beach is also considered to be part of the backshore unless the bay or lagoon shore of the barrier is mapped separately. Typical mapped backshore forms include cliffs, slopes, dunes, washover channels and fans, and wetlands, as well as artificial forms such as docks, ramps, seawalls, revetments, or other shore protection forms. Materials include combinations of ice, organics, mud, sand, gravel and boulders, rock, or artificial materials such as concrete, wood, or steel. Combinations of zonal form and material types can be queried to build more sophisticated classifications based on multiple criteria or empirical indices. For more information please refer to the datafile entitled: CCIN12119_20150218_Backshore_Extended_Metadata_FGDC.xml

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0040.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.013

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 head0.012
GPT teacher head0.213
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

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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