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Record W2326949229 · doi:10.1093/ae/60.3.192

Bringing up the Rearing

2014· article· en· W2326949229 on OpenAlex
John Acorn

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

VenueAmerican Entomologist · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

It is now mid-August and I have to admit, I’m feeling a bit empty. I just realized that I haven’t reared a single insect this year, and I miss it. Usually, I’ll encounter a larva or pupa that I don’t recognize, and “rear it out” in order to make identification easier. Either that, or I will purposely obtain eggs or larvae as part of some other project. But this year, at least so far, I’m more or less grubless. I realize that for some entomologists, rearing is part of the job, and if you are one of those people who rear thousands of insects, day in and day out, perhaps my perspective will seem peculiar, but for me, rearing is merely an occasional and an enjoyable part of being an entomophile. I like the nurturing aspect of rearing, and I find that it is a perfectly good replacement for gardening, in which I seem to have no interest at all. Rearing caterpillars is especially enjoyable, perhaps because caterpillars are among the best-looking of immature insects. I only realized this fact when I started writing this column, but it should have been obvious, thinking about the larvae of, for example, flies, beetles, and hymenopterans. They are all quite fascinating, but generally not crowd-pleasing, while most caterpillars are colorful, appealingly shaped, and cute. I guess it makes sense—larvae need to grow, so they need a softer exoskeleton than the adults, and unless they also possess protective coloration or setae, they wind up looking pale and grub-like. I give butterflies a great deal of my attention, but most of my caterpillar-rearing experiences have been with the larvae of moths. Either way, I enjoy it. The combination of peaceful, attractive larvae and fresh-cut plants for food (so long as you keep things clean, and avoid a disgusting layer of moldy frass on the cage bottom) makes for an aesthetically pleasing daily routine. Caterpillars do need daily care, and many of my lepidopterist friends have lamented that they couldn’t travel much during the summer because they had caterpillars to look after. It’s a lot like having a puppy, or two, or three. I think the most amusing stories involve people who decide to go into the field on collecting trips, and take all of their rearing cages with them, in the back of the vehicle. Kids like caterpillars too, and the rearing of butterflies (painted ladies and monarchs, generally) is a part of the curriculum for many students. It has resulted in a bit of a controversy over whether these reared butterflies cloud our understanding of butterfly migration, but it is certainly a big hit in the classroom. My son Jesse was extremely keen on caterpillars when he was in his pre-teens, and we always had a cage or two to look after during the summer months, as well as some trays of pupae in the fridge over the winter. Usually, we would wait for a particularly nice female moth to show up in the light trap, and then see if she would lay eggs in a paper bag. In some places (for example, Japan and eastern Europe), beetle rearing is not far behind caterpillar rearing in popularity, but not here in North America, where we don’t allow such things, at least with “exotics.” Many years ago, when I was able to get a federal permit to rear tropical scarab beetles (I focused on goliathines), I learned a great deal, had marvelous living creatures to show to my undergrad students, and was able to supplement the offerings at the local insect zoo at the Royal Alberta Museum. I miss those days. Jesse used to help me scrub the mites off the grubs’ mouthparts, holding them with one hand, under warm tap water, and scrubbing with a soft toothbrush with the other.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.218
Teacher spread0.183 · 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