MétaCan
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Who produces for whom in the world economy?

2011· article· en· 331 citations· W1511162335 on OpenAlex· 10.1111/j.1540-5982.2011.01679.x

Why is this work in the frame?

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

Canadian venueIt was published in a Canadian venue.

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.

Classifier prediction

metacan-v1-d91a1de5be90

Predictions imitate two machine teachers. Scores are not calibrated prevalence probabilities.

Classifier candidate
ObservationalTheoretical or conceptualNot applicable
Classifier consensus
ObservationalTheoretical or conceptual
Teacher imitation scores

Codex

Theoretical or conceptual0.973
Observational0.366
Metaresearch0.007
Not applicable0.004
Bibliometrics0.003
Simulation or modelling0.001
Qualitative0.001
Open science0.000
Other design0.000
Scholarly communication0.000
Research integrity0.000
Systematic review0.000
Meta-analysis0.000
Case report0.000
Meta-epidemiology (broad)0.000
Meta-epidemiology (narrow)0.000
Science and technology studies0.000
Randomized trial0.000
Bench or experimental0.000
Non-randomized trial0.000

Gemma

Theoretical or conceptual0.750
Not applicable0.101
Observational0.089
Bibliometrics0.001
Simulation or modelling0.001
Science and technology studies0.001
Metaresearch0.001
Research integrity0.000
Meta-epidemiology (broad)0.000
Systematic review0.000
Qualitative0.000
Scholarly communication0.000
Case report0.000
Meta-epidemiology (narrow)0.000
Open science0.000
Meta-analysis0.000
Randomized trial0.000
Non-randomized trial0.000
Bench or experimental0.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.335
GPT teacher head0.183
Teacher spread
0.151 how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Abstract For two decades, the share of trade in inputs, also called vertical trade, has been dramatically increasing. In reallocating trade flows to their original input‐producing industries and countries, this paper suggests a new measure of international trade: ‘value‐added trade’ and makes it possible to answer the question ‘who produces for whom?’ In 2004, 27% of international trade was vertical trade. The industrial and geographic patterns of value‐added trade are very different from those of standard trade. Value‐added trade is relatively less important in regional trade but the difference is not more important for Asia than for America.

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.