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Record W7047023507

From fencerow to product

2025· article· en· W7047023507 on OpenAlexaffabout

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsTrent University
Fundersnot available
KeywordsArable landWoodlandWildlifeField (mathematics)Glacial periodLand use
DOInot available

Abstract

fetched live from OpenAlex

First paragraphs: Feral or wild fruit such as apple, pear, and plum, are the offspring of domestic varieties that have escaped cultivation (Cronin et al., 2020). Such fruit is commonly found on farms across north­eastern North America (Eppig, 2012) where older farm infrastructure such as field boundaries defined decades ago are still in place (Cronin et al., 2020). These feral trees are the hybrid offspring of heritage variety ancestors (Cronin et al., 2020; Gross et al., 2018; Volk & Henk, 2016) deposited by wildlife as seeds on stone piles, along woodland edges, in clearings, and on wooden rail fences (Fritz & Merriam, 1996). Rail fences on these farms were commonly built in a manner that did not require post holes, and were constructed from 60 to 200 years ago out of split cedar rails and installed on rocky ground (Bowley, 2015; McIlwraith, 1984) and stone field borders composed of glacial till and glacial erratics (Chap­man & Putnam, 1940; Putnam & Chapman, 1936). On many farms, these stone field borders still define the field sizes set when farmers first tried to clear arable land of stones and stumps by carrying or dragging rocks to field edges (Gage, 2015; Ripley et al., 1946). This has created a landscape of small fields with almost permanent field bounda­ries that are characteristic of farms in regions of shallow topsoil, rocky ground, typical of many farms across northeastern North America, includ­ing central Ontario (McIlwraith, 1984). These small fields are bordered by hedges of mixed species of native and introduced plants, shrubs, and trees (Fritz & Merriam, 1996). The resulting adventive hedges (Figure 1) can be up to 20 feet (6 meters) wide and are effectively linear woodlands (Fritz & Merriam 1996; Rackham, 1994) where wildlife abound alongside cattle, sheep, crops, and hayfields (Mineau & McLaughlin, 1996). Characteristic fruit trees and shrubs of these field borders include both native and introduced species (Fritz & Merriam, 1996), such as feral apples (Figure 2), crab apples, feral and native plums, gooseberries, grapes, cher­ries, blackberries and raspberries, rowan berries, dogwoods, and viburnums, all of which provide food and habitat for birds, mammals, and insects (Mineau & McLaughlin, 1996). . . .

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.486
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4860.314

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 head0.176
GPT teacher head0.563
Teacher spread0.388 · 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.

Study designNot applicable
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
Published2025
Admission routes2
Has abstractyes

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