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Record W2117946569 · doi:10.1006/jmsc.2001.1129

Is there evidence of increased pup production in northwest Atlantic harp seals, Pagophilus groenlandicus ?

2002· article· en· W2117946569 on OpenAlexfundaboutno aff
Garry B. Stenson

Bibliographic record

VenueICES Journal of Marine Science · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsHARPOceanographyFisheryFront (military)GeographyBiologyGeologyHistory

Abstract

fetched live from OpenAlex

Photographic and visual surveys of the whelping (pupping) concentrations off eastern Newfoundland (“Front”) and in the Gulf of St Lawrence (“Gulf”) were conducted during March 1994 to determine whether pup production of Northwest Atlantic harp seals has increased since the decline in hunting during the mid-1980s and early 1990s. Photographic counts were corrected for misidentified pups by comparing multiple readings of photographs made by two or more readers. Survey estimates were also corrected for pups absent from the ice at the time of the survey using the occurrence of distinct age-related developmental stages. Multiple estimates were available for three of the ten whelping concentrations. Pup production was estimated to be 446 700 (s.e.=57 200) at the Front, 57 600 (s.e.=13 700) in the northern Gulf and 198 600 (s.e.=24 200) in the southern Gulf (Magdalen Island) for a total of 702 900 (s.e.=63 600). This result is greater than estimates obtained in the late 1970s and early 1980s using mark-recapture techniques. The 1994 estimate can be compared directly with the 1990 estimate of pup production (578 000, s.e.=38 800) which was obtained using similar aerial survey methods. The null hypothesis of no increase in pup production (one-tail t-test) was rejected (p=0.03) indicating that pup production has increased.

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)0.000
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.259
Teacher spread0.225 · 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
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

Citations32
Published2002
Admission routes2
Has abstractyes

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