---
title: Fame jobs look easy on screen, but most YouTubers earn almost nothin… — Jobs and what people earn · tree and pragmatics
description: Fame jobs look easy on screen, but most YouTubers earn almost nothing, while ordinary jobs like driving, caring and building keep the country running. Who acts: Fame jobs, most YouTubers, ordinary jobs, country. A sentence of the lesson «Jobs and what people earn» of the money course of Mova's prima
---

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# Jobs and what people earn, sentence 4

<!-- .ven lang=en -->
Fame jobs look easy on screen, but most YouTubers earn almost nothing, while ordinary jobs like driving, caring and building keep the country running.

<!-- .vintro -->
**Who acts:** Fame jobs, most YouTubers, ordinary jobs, country · **What happens:** look, earn, keep, run · **To what, where:** nothing, country

<!-- .vabout -->
This is a sentence of the lesson «Jobs and what people earn» of the money course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Fame jobs, most YouTubers, ordinary jobs, country), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:money:029-jobs-and-what-people-earn.lesson:4
# text = Fame jobs look easy on screen, but most YouTubers earn almost nothing, while ordinary jobs like driving, caring and building keep the country running.
# source = school lesson (ours)
# course = money
# lesson = 029-jobs-and-what-people-earn.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R5-strong ×1, R8-pos-agree ×2
1	Fame	fame	NOUN	NN	Number=Sing	2	compound	_	_
2	jobs	job	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	look	look	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	easy	easy	ADJ	JJ	Degree=Pos	3	xcomp	_	_
5	on	on	ADP	IN	_	6	case	_	_
6	screen	screen	NOUN	NN	Number=Sing	4	obl	_	_
7	,	,	PUNCT	,	_	11	punct	_	_
8	but	but	CCONJ	CC	_	11	cc	_	_
9	most	most	ADJ	JJS	Degree=Sup	10	amod	_	_
10	YouTubers	youtuber	PROPN	NNPS	Number=Plur	11	nsubj	_	Agree=R8-pos-agree|Haiku=11:nsubj|HaikuPos=NOUN:NNS:Number=Plur
11	earn	earn	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
12	almost	almost	ADV	RB	_	13	advmod	_	_
13	nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	11	obj	_	_
14	,	,	PUNCT	,	_	24	punct	_	_
15	while	while	SCONJ	IN	_	24	mark	_	_
16	ordinary	ordinary	ADJ	JJ	Degree=Pos	17	amod	_	_
17	jobs	job	NOUN	NNS	Number=Plur	24	nsubj	_	_
18	like	like	ADP	IN	_	19	case	_	_
19	driving	driving	NOUN	NN	Number=Sing	17	nmod	_	Agree=R8-pos-agree|Haiku=17:nmod|HaikuPos=VERB:VBG:Tense=Pres|VerbForm=Part
20	,	,	PUNCT	,	_	21	punct	_	_
21	caring	caring	NOUN	NN	Number=Sing	19	conj	_	_
22	and	and	CCONJ	CC	_	23	cc	_	_
23	building	building	NOUN	NN	Number=Sing	19	conj	_	Agree=R3-conj-first|Haiku=21:conj
24	keep	keep	VERB	VB	VerbForm=Inf	11	advcl	_	Agree=R5-strong|Haiku=3:parataxis
25	the	the	DET	DT	Definite=Def|PronType=Art	26	det	_	_
26	country	country	NOUN	NN	Number=Sing	24	obj	_	_
27	running	run	VERB	VBG	VerbForm=Ger	24	xcomp	_	_
28	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **look** | present | Fame jobs |  |  |  |  | easy *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus |
| 2 | **earn** | present | most YouTubers | nothing |  |  |  |  | vn get-13.5.1-1 «NP V NP»: agent=Agent nothing=Theme |
| 3 | **keep** | infinitive | ordinary jobs like driving and caring and building | the country |  |  |  |  | tree rules |
| 4 | **run** | gerund | the country *not said here* |  |  |  |  |  | vn run-51.3.2-2-1 «NP V»: agent=Theme |

<!-- .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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:money:029-jobs-and-what-people-earn.lesson:4`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1, R5-strong ×1, R8-pos-agree ×2. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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