---
title: Which animals would glow brightest on a heat camera on a cold night? — How nature documentaries are made: hid… · tree and pragmatics
description: Which animals would glow brightest on a heat camera on a cold night? Test 12 of lesson 394 «How nature documentaries are made: hides, camera traps, drones and years of waiting» of the biology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option;
---

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# Test 12 · How nature documentaries are made: hides, camera traps, dr…

<!-- .ven lang=en -->
Which animals would glow brightest on a heat camera on a cold night?

<!-- .vintro -->
**Mova's choice:** option 2 · **The right answer:** option 3 · wrong ✗ · **Who acts:** animals · **What happens:** glow · **To what, where:** heat camera

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This is test 12 of lesson 394 «How nature documentaries are made: hides, camera traps, drones and years of waiting» of the biology course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/#t12).

## The question {#question}

```conllu
# sent_id = question:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting:t12:1
# text = Which animals would glow brightest on a heat camera on a cold night?
1	Which	which	DET	WDT	PronType=Int	2	det	_	_
2	animals	animal	NOUN	NNS	Number=Plur	4	nsubj	_	_
3	would	would	AUX	MD	VerbForm=Fin	4	aux	_	_
4	glow	glow	VERB	VB	VerbForm=Inf	0	root	_	_
5	brightest	bright	ADJ	JJS	Degree=Sup	4	xcomp	_	_
6	on	on	ADP	IN	_	9	case	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	heat	heat	NOUN	NN	Number=Sing	9	compound	_	_
9	camera	camera	NOUN	NN	Number=Sing	4	obl	_	_
10	on	on	ADP	IN	_	13	case	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
12	cold	cold	ADJ	JJ	Degree=Pos	13	amod	_	_
13	night	night	NOUN	NN	Number=Sing	4	obl	_	SpaceAfter=No
14	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **glow** | would | which animals |  |  | a heat camera | night | bright *property* | vn light\_emission-43.1 «NP V PP.location»: agent=Theme on camera=Location |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Stones and logs that soaked up the sun

```conllu
# sent_id = question:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting:t12:o1:1
# text = Stones and logs that soaked up the sun
1	Stones	stone	NOUN	NNS	Number=Plur	5	nsubj:pass	_	_
2	and	and	CCONJ	CC	_	3	cc	_	_
3	logs	log	NOUN	NNS	Number=Plur	1	conj	_	_
4	that	that	PRON	WDT	PronType=Rel	5	nsubj:pass	_	_
5	soaked	soak	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	up	up	ADP	RP	_	5	compound:prt	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	sun	sun	NOUN	NN	Number=Sing	5	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **soak up** | participle · passive |  | Stones and logs |  |  |  |  | tree rules |

### Option 2 · ← Mova's choice {#o2}

<!-- .ven lang=en -->
Cold-blooded frogs and snakes

```conllu
# sent_id = question:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting:t12:o2:1
# text = Cold-blooded frogs and snakes
1	Cold	cold	ADJ	JJ	Degree=Pos	3	amod	_	SpaceAfter=No
2	-	-	PUNCT	HYPH	_	1	punct	_	SpaceAfter=No
3	blooded	blooded	ADJ	JJ	Degree=Pos	4	amod	_	_
4	frogs	frog	NOUN	NNS	Number=Plur	0	root	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	snakes	snake	NOUN	NNS	Number=Plur	4	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 3 · ✓ the right answer {#o3}

<!-- .ven lang=en -->
Warm-blooded mammals and birds

```conllu
# sent_id = question:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting:t12:o3:1
# text = Warm-blooded mammals and birds
1	Warm	warm	ADJ	JJ	Degree=Pos	3	amod	_	SpaceAfter=No
2	-	-	PUNCT	HYPH	_	1	punct	_	SpaceAfter=No
3	blooded	blooded	ADJ	JJ	Degree=Pos	4	amod	_	_
4	mammals	mammal	NOUN	NNS	Number=Plur	0	root	_	_
5	and	and	CCONJ	CC	_	6	cc	_	_
6	birds	bird	NOUN	NNS	Number=Plur	4	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 4 {#o4}

<!-- .ven lang=en -->
Dead leaves lying on the ground

```conllu
# sent_id = question:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting:t12:o4:1
# text = Dead leaves lying on the ground
1	Dead	dead	ADJ	JJ	Degree=Pos	2	amod	_	_
2	leaves	leaf	NOUN	NNS	Number=Plur	0	root	_	_
3	lying	lie	VERB	VBG	VerbForm=Ger	2	acl	_	_
4	on	on	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	ground	ground	NOUN	NN	Number=Sing	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **lie** | gerund | Dead leaves *not said here* |  |  | the ground |  |  | vn assuming\_position-50 «NP V PP.location»: agent=Agent on ground=Location |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

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- next →: [How nature documentaries are made: hid…, exam 1](https://md.mova.elamur.ai/free/en/corpora/questions/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/e1/)
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