diff --git a/Docs/Calibration/corpus.json b/Docs/Calibration/corpus.json
index c253c06..0b5d36e 100644
--- a/Docs/Calibration/corpus.json
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"sha256": "c386afc56213d4107ea06d35552f51638c95497cdb2787ce494eb3c0bb352ea0",
- "note": "Revision of \"Maquillaje artístico\" as of 2021-05-12T21:29:36Z, before generative models."
+ "note": "Revision of \"Maquillaje artístico\" as of 2021-05-12T21:29:36Z, before 2022."
},
{
"id": "wp-es-135646104",
@@ -3517,7 +3517,7 @@
"doi": null,
"file": "wp-es-135646104.txt",
"sha256": "abfa414201d6329bf47f9fede084f6a3ccdd3575ae4a6353567a577a40c9c5e6",
- "note": "Revision of \"Sundome\" as of 2021-05-18T23:49:07Z, before generative models."
+ "note": "Revision of \"Sundome\" as of 2021-05-18T23:49:07Z, before 2022."
},
{
"id": "wp-es-135764642",
@@ -3529,7 +3529,7 @@
"doi": null,
"file": "wp-es-135764642.txt",
"sha256": "57152ac662dc43b4c9e71dd5fcce2acd53fe1a0a4d10cb7763ab7504b10a20ac",
- "note": "Revision of \"Ancho ibérico\" as of 2021-05-23T17:05:50Z, before generative models."
+ "note": "Revision of \"Ancho ibérico\" as of 2021-05-23T17:05:50Z, before 2022."
},
{
"id": "wp-es-135854886",
@@ -3541,7 +3541,7 @@
"doi": null,
"file": "wp-es-135854886.txt",
"sha256": "6fd5dd654ae329114b18faaa24960dfca3cb93e6eb476394a744624fbb7011f6",
- "note": "Revision of \"Edad de Oro de la ciencia ficción\" as of 2021-05-26T21:31:15Z, before generative models."
+ "note": "Revision of \"Edad de Oro de la ciencia ficción\" as of 2021-05-26T21:31:15Z, before 2022."
},
{
"id": "wp-es-135862639",
@@ -3553,7 +3553,7 @@
"doi": null,
"file": "wp-es-135862639.txt",
"sha256": "a3a7cab5ea32a79d817fa32d860a3a1816d388bdc9e553ac17fc2359434ba500",
- "note": "Revision of \"Oligopolio\" as of 2021-05-27T03:52:20Z, before generative models."
+ "note": "Revision of \"Oligopolio\" as of 2021-05-27T03:52:20Z, before 2022."
}
]
}
diff --git a/Docs/PARAPHRASE.md b/Docs/PARAPHRASE.md
index c00d288..1c9b9b7 100644
--- a/Docs/PARAPHRASE.md
+++ b/Docs/PARAPHRASE.md
@@ -16,7 +16,7 @@ This page measures what such a rewrite does to a passage, using passages whose a
- **Pair fingerprint** `9fb9e9798f5b2a78`
- **Run** 2026-08-19
-Every human half was published before generative models existed, which is the whole basis for calling it human and the same basis the calibration page rests on. Both halves are the same passage at roughly the same length, so the comparison is within a text rather than between two populations: no collection of machine-written prose was assembled, and none was needed. The pairs are cut from the **opening** of each document, which matters and is measured under Length.
+Every human half was published before 2022, which is the whole basis for calling it human and the same basis the calibration page rests on. Both halves are the same passage at roughly the same length, so the comparison is within a text rather than between two populations: no collection of machine-written prose was assembled, and none was needed. The pairs are cut from the **opening** of each document, which matters and is measured under Length.
**This half of the study ages, and the human half does not.** A 2019 paper will still have been written in 2019 a decade from now; the rewrite is the work of one model on one day. That is why the model and the date are printed above rather than buried, and why the right response to "but a newer model rewrites differently" is to re-run this with that model rather than to argue about it.
diff --git a/src/SignsOfAI.Core/Calibration/PublishedCalibration.cs b/src/SignsOfAI.Core/Calibration/PublishedCalibration.cs
index b1fadb6..3496a65 100644
--- a/src/SignsOfAI.Core/Calibration/PublishedCalibration.cs
+++ b/src/SignsOfAI.Core/Calibration/PublishedCalibration.cs
@@ -22,7 +22,7 @@ public sealed record PublishedCalibration
/// ¿Cuánto se equivoca?
una persona delante.
- Lo medimos así: noventa textos publicados antes de que existieran los modelos - generativos. No los juzgó nadie: sabemos que son humanos por su fecha. Después los - pasamos por la herramienta y contamos a cuántos habría acusado. + Lo medimos así: 296 textos escritos antes de 2022 — artículos publicados, + revisiones de Wikipedia y ensayos de clase. No los juzgó nadie: sabemos que son humanos por su + fecha. Después los pasamos por la herramienta y contamos a cuántos habría acusado.
Repartir la cifra global a todo el mundo sería cómodo y sería falso. El corpus tiene - sesenta y cinco textos en inglés y veinticinco en español, así que lo que se puede + 271 textos en inglés y veinticinco en español, así que lo que se puede afirmar sobre cada idioma es distinto — y en la herramienta cada lector ve el suyo, no el promedio.
- Los noventa textos son artículos publicados, no trabajos de estudiantes. Un - ensayo de primero de carrera no se parece a un artículo revisado por pares, y esa diferencia - no está medida aquí. + Sí incluye trabajos de estudiantes, y esa es la parte que más le importa a usted. + De los 296 textos, 206 son ensayos de clase escritos por adultos que estaban + aprendiendo inglés. Es exactamente el grupo del que se acusa a los detectores de equivocarse más, + y aquí es el que peor sale: mide más alto que cualquier otro grupo en todas las columnas. A un + umbral de 25 sobre 100 se marcaban nueve de ellos. Por eso la frontera está en 30 y no + en 25 — se movió cuando supimos a quién estaba haciendo daño. +
++ Lo que sigue sin medirse es el ensayo de estudiante en español: los veinticinco + textos en español son revisiones de Wikipedia de una sola fuente. Ahí esta herramienta sabe + menos, y lo dice en vez de prestarle a un idioma una cifra que midió en otro.
- Here is how it was measured: ninety texts published before generative models - existed. Nobody judged them human — their dates did. Then they went through the tool and - we counted how many it would have accused. + Here is how it was measured: 296 texts written before 2022 — published + articles, Wikipedia revisions and classroom essays. Nobody judged them human; their dates did. + Then they went through the tool and we counted how many it would have accused.
- Handing the pooled figure to everyone would be convenient and false. The corpus holds sixty-five - English texts and twenty-five Spanish ones, so what can be claimed about each language differs — - and in the tool, each reader is shown their own, never the average. + Handing the pooled figure to everyone would be convenient and false. The corpus holds + 271 English texts and twenty-five Spanish ones, so what can be claimed about + each language differs — and in the tool, each reader is shown their own, never the average.
- The ninety texts are published articles, not student work. A first-year essay - does not read like a peer-reviewed paper, and that difference is not measured here. + It does include student work, and that is the part that matters most to you. + Of the 296 texts, 206 are classroom essays written by adults learning English. + That is precisely the group detectors are accused of getting wrong most often, and here it is the + group that fares worst: it sits highest of any group in every column. At a threshold of 25 out of + 100, nine of them were flagged. That is why the boundary is 30 and not 25 — it + moved once we knew who it was hurting. +
++ What is still unmeasured is the student essay in Spanish: the twenty-five Spanish + texts are Wikipedia revisions from a single source. There this tool knows less, and it says so + rather than lending one language a figure it measured in another.