birds

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-17.)

birds has 26 facts recorded in Dontopedia across 12 references, with 3 live disagreements.

26 facts·17 predicates·12 sources·3 in dispute

Mostly:rdf:type(5), capability(2), aggregates all(2)

Inbound mentions (41)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`categorizedAs`Categorized As(6)

Miss Sitera Donationex:miss-sitera-donation
Mr G Watkins Donationex:mr-g-watkins-donation
Mr J S Cameron Donationex:mr-j-s-cameron-donation
Mr W F Cheeke Donation Birdsex:mr-w-f-cheeke-donation-birds
Mr W Gorler Donationex:mr-w-gorler-donation
Mr William Eight Mile Plains Donationex:mr-william-eight-mile-plains-donation

`classifiedAs`Classified As(5)

Chicken Monstrosity Bulimbaex:chicken-monstrosity-bulimba
Mtgapodiut Eggex:mtgapodiut-egg
Mycteriaex:mycteria
Parra North Pine Riverex:parra-north-pine-river
Platycercus Eight Mile Plainsex:platycercus-eight-mile-plains

`hasTrainingTaxa`Has Training Taxa(2)

Birdaves Largeex:birdaves-large
Birdnet V2.3ex:birdnet-v2.3

`includes`Includes(2)

Creaturesex:creatures
Four Animalsex:four-animals

`associatedWithFoodSource`Associated With Food Source(1)

Tupuarangiex:tupuarangi

`canBeCachedBy`Can Be Cached by(1)

Whole Fruitsex:whole-fruits

`capturedEntity`Captured Entity(1)

Narrator Protagonistex:narrator-protagonist

`collectsSpecimensOf`Collects Specimens of(1)

Professor Edelfeltex:professor-edelfelt

`coversTaxonomicGroup`Covers Taxonomic Group(1)

Perch 2 0 Modelex:perch-2-0-model

`decoratedWith`Decorated With(1)

Bronze Treeex:bronze-tree

`favoriteAnimal`Favorite Animal(1)

Andrewex:andrew

`feature`Feature(1)

Sanxingdui Bronzesex:sanxingdui-bronzes

`for`For(1)

Safe Havenex:safe-haven

`formsHappyHuntingGroundFor`Forms Happy Hunting Ground for(1)

Orangeryex:orangery

`formsHomeFor`Forms Home for(1)

Orangeryex:orangery

`goodForBirds`Good for Birds(1)

Market at Homeex:market-at-home

`harms`Harms(1)

Young Australiaex:young-australia

`hasFavoriteAnimal`Has Favorite Animal(1)

Andrewex:andrew

`hasWildlife`Has Wildlife(1)

Mountain Lakeex:mountain-lake

`includesExample`Includes Example(1)

Wildlifeex:wildlife

`includesTaxon`Includes Taxon(1)

Wide Variety of Speciesex:wide-variety-of-species

`indicatesTimeFor`Indicates Time for(1)

Triangleex:triangle

`involvesTaxon`Involves Taxon(1)

Cross Taxa Method Transferex:cross-taxa-method-transfer

`nextTopic`Next Topic(1)

Conversation Topic Sequenceex:conversation-topic-sequence

`primarilyCovers`Primarily Covers(1)

Perch 2 0ex:perch-2-0

`primaryCoverage`Primary Coverage(1)

Perch Modelex:perch-model

`protects`Protects(1)

Old Farmerex:old-farmer

`receivesOfferingOf`Receives Offering of(1)

Tupuarangiex:tupuarangi

`spots`Spots(1)

Andrewex:andrew

`wildlife`Wildlife(1)

Agnew Meadows to Reds Meadow Sectionex:Agnew-Meadows-to-Reds-Meadow-section

Other facts (23)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

23 facts

Predicate	Value	Ref
Rdf:type	Animal Class	[7]
Rdf:type	Bird	[8]
Rdf:type	Animal	[7]
Rdf:type	Taxonomic Group	[9]
Rdf:type	Class	[9]
Capability	Soaring	[7]
Capability	Exploring New Spots	[7]
Aggregates All	birds — type: animal class, bird, animal	[11]
Aggregates All	birds — capability: soaring, exploring new spots	[11]
No Pigeons	null	[1]
Named From Sounds	Sounds They Make	[2]
Priced Cheaply	Prize Stock Birds	[3]
Avoid Flying Over	Bird Barrier Mountain	[4]
Swarm Around	Orangery	[5]
Benefit From	Old Farmer Protection	[5]
Hit But Escaped	large number	[6]
Audible at	Mountain Lake	[8]
Described by Sound	sound	[8]
Physical Capability	Flight	[7]
General Appreciation	Andrew	[7]
Offered to Star	Tupuarangi	[10]
Prefer	Running Water	[12]
Need Water for	Drinking and Cooling	[12]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

26 undated

—

noPigeonstrove-cooktown/coloured-persons

null

—

namedFromSoundslaura-corridor/loop6-blankets

ex:sounds-they-make

—

pricedCheaplybrackenridge-cairns-1880-1900/trove-new/171183492_Saturday-3-September-1898_Advertising

ex:prize-stock-birds

—

avoidFlyingOverrosie-reynolds-massacre-connection/metadata-reingest/cairnshistory-com-au-bama-bulmba-aboriginal-rainforest-homelands-cairns-region-1cb9aa9245f8

ex:bird-barrier-mountain

—

swarmAroundblucher-uhr/trove--trove-articles--james-walker-maryborough--wednesday 17 may 1911--165737954--outdoor-australia-gathering-beche-de-mer

ex:orangery

—

benefitFromblucher-uhr/trove--trove-articles--james-walker-maryborough--wednesday 17 may 1911--165737954--outdoor-australia-gathering-beche-de-mer

ex:old-farmer-protection

—

hitButEscapedblucher-uhr/trove--trove-cooktown-all--james-walker-maryborough--saturday 3 september 1881--169520032--local-news

large number

—

typelocomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea

ex:AnimalClass

—

labellocomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea

birds

—

typelocomo/e6afbcbc-bc87-4b17-bab9-159b58171a4a

ex:Bird

—

labellocomo/e6afbcbc-bc87-4b17-bab9-159b58171a4a

birds

—

audibleAtlocomo/e6afbcbc-bc87-4b17-bab9-159b58171a4a

ex:mountain-lake

—

describedBySoundlocomo/e6afbcbc-bc87-4b17-bab9-159b58171a4a

sound

—

typelocomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea

ex:Animal

—

capabilitylocomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea

ex:soaring

—

capabilitylocomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea

ex:exploring-new-spots

—

physicalCapabilitylocomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea

ex:flight

—

generalAppreciationlocomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea

ex:andrew

—

typetp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

ex:TaxonomicGroup

—

offeredToStarmaori/matariki-wikipedia-2026

ex:tupuarangi

—

typetp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

ex:Class

—

labeltp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

birds

—

aggregatesAlllocomo/conv-44/aggrel

birds — type: animal class, bird, animal

—

aggregatesAlllocomo/conv-44/aggrel

birds — capability: soaring, exploring new spots

—

preferlme/dff5685f-c87d-48f7-ade6-7f5a87e6257b

ex:running-water

—

needWaterForlme/dff5685f-c87d-48f7-ade6-7f5a87e6257b

ex:drinking-and-cooling

References (12)

12 references

[1]Coloured Persons1 fact
ctx:genes/trove-cooktown/coloured-persons
[2]Loop6 Blankets1 fact
ctx:genes/laura-corridor/loop6-blankets
[3]171183492 Saturday 3 September 1898 Advertising1 fact
ctx:genes/brackenridge-cairns-1880-1900/trove-new/171183492_Saturday-3-September-1898_Advertising
[4]Cairnshistory Com Au Bama Bulmba Aboriginal Rainforest Homelands Cairns Region 1cb9aa9245f81 fact
ctx:genes/rosie-reynolds-massacre-connection/metadata-reingest/cairnshistory-com-au-bama-bulmba-aboriginal-rainforest-homelands-cairns-region-1cb9aa9245f8
[5]Trove Trove Articles James Walker Maryborough Wednesday 17 May 1911 165737954 Outdoor Australia Gathering Beche De Mer2 facts
ctx:research/blucher-uhr/trove--trove-articles--james-walker-maryborough--wednesday 17 may 1911--165737954--outdoor-australia-gathering-beche-de-mer
[6]Trove Trove Cooktown All James Walker Maryborough Saturday 3 September 1881 169520032 Local News1 fact
ctx:research/blucher-uhr/trove--trove-cooktown-all--james-walker-maryborough--saturday 3 september 1881--169520032--local-news
[7]8fa20d44 9da7 4d68 Bd4c E7b0b5edb2ea7 facts
ctx:claims/locomo/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea
- full textbeam-chunk
  text/plain2 KBdoc:beam/8fa20d44-9da7-4d68-bd4c-e7b0b5edb2ea
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  [Session date: 1:10 pm on 27 March, 2023] Audrey: Hey Andrew! Good to see ya! What's been up since we last talked? Andrew: Hey Audrey! So, I started a new job as a Financial Analyst last week - it's been quite a change from my previous job.…
[8]E6afbcbc Bc87 4b17 Bab9 159b58171a4a4 facts
ctx:claims/locomo/e6afbcbc-bc87-4b17-bab9-159b58171a4a
- full textbeam-chunk
  text/plain3 KBdoc:beam/e6afbcbc-bc87-4b17-bab9-159b58171a4a
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  [Session date: 12:24 am on 24 August, 2023] Andrew: Hey Audrey! What's up? Last weekend my girlfriend and I went fishing in one of the nearby lakes. It was so nice. We got a few fish and had a blast. Have you ever gone fishing before? Audre…
[9]tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims3 facts
tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
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  nighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020. E. Mercado and S. Handel. Understanding the structure of humpback whale songs (l). The Jo…
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  Marine Science, 11:1394695, 2024. J. A. Allen, E. C. Garland, C. Garrigue, R. A. Dunlop, and M. J. Noad. Song complexity is maintained during inter-population cultural transmission of humpback whale songs. Scientific reports, 12(1): 8999, 2…
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  atasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervision…
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  = 8k = 16k = 8 k = 16k = 8 k = 16 GMWM0.8900.9140.7640.8210.9360.9540.868* 0.917*0.8230.855 SurfPerch 0.9320.9470.8590.9030.9810.9840.7960.8990.982* 0.986* Perch 1.0 0.9580.9680.9010.9310.9770.9810.8360.9050.9580.970 Perch 2.0 0.9…
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  V2.348 kHz3.0102420.0MBirds, Frogs AVES-bio16 kHzVariable768 2 94.4MGeneral Audio BirdAVES (large)16 kHzVariable1024 3 315.4MGeneral Audio + Birds 4 Comparison models. As our goal is to provide guidance on which pretrained embedding models …
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  ludes new classes unseen by the models. The classes used in the NOAA PIPAN evaluation set include anthropomorphic noise, unknown whale species, and the following baleen whale species: common minke whale, humpback whale, sei whale, blue whal…
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  ained on log-mel spectrograms using a classification loss. Additionally, the model used a form of self-distillation and a self-supervised loss (in the form of source recording prediction) with the goal of producing strong embeddings that ar…
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  ion as new sounds are discovered while not having large amounts of human labeled data. Despite these challenges, passive acoustic monitoring is a critical tool for marine conservation and ecology (Fleishman et al., 2023), and discoveries ab…
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs…
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  monitoring. Ecol. Inform., 61(101236):101236, Mar. 2021. 6 J. Kaplan, S. McCandlish, T. Henighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020…
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  e datasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervis…
- full textchunk-003
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  ce on which pretrained embedding models should be used for agile modeling and transfer learning (with existing tools), we limit our comparisons to models supported in the Perch Hoplite Github repository 5 . We compare the performance of the…
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  l of producing strong embeddings that are linearly separable for a wide range of bioacoustics tasks. Embeddings from the Perch model have shown successful generalization to tasks other than species classification (e.g., individual identific…
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs…
- full texttoiletpaper-smoke-paper
  application/pdf24 KBtp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind A…
[10]Matariki Wikipedia 20261 fact
ctx:seven-sisters/maori/matariki-wikipedia-2026
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  [Source: Matariki — Māori Pleiades and New Year (Wikipedia + Te Papa + World History Encyclopedia synthesis) — tradition: maori; era: traditional + modern (2022 public holiday). Excerpt 3/8. Provenance: https://en.wikipedia.org/wiki/Matarik…
[11]Aggrel2 facts
ctx:claims/locomo/conv-44/aggrel
[12]Dff5685f C87d 48f7 Ade6 7f5a87e6257b2 facts
ctx:claims/lme/dff5685f-c87d-48f7-ade6-7f5a87e6257b
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  [Session date: 2023/05/29 (Mon) 16:16] User: I'm planning a picnic in my local park this weekend and I'm wondering if you can suggest some bird-friendly food that I can bring to attract some of the birds I've been seeing lately. Assistant: …

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birds

Inbound mentions (41)

categorizedAsCategorized As(6)

classifiedAsClassified As(5)

hasTrainingTaxaHas Training Taxa(2)

includesIncludes(2)

associatedWithFoodSourceAssociated With Food Source(1)

canBeCachedByCan Be Cached by(1)

capturedEntityCaptured Entity(1)

collectsSpecimensOfCollects Specimens of(1)

coversTaxonomicGroupCovers Taxonomic Group(1)

decoratedWithDecorated With(1)

favoriteAnimalFavorite Animal(1)

featureFeature(1)

forFor(1)

formsHappyHuntingGroundForForms Happy Hunting Ground for(1)

formsHomeForForms Home for(1)

goodForBirdsGood for Birds(1)

harmsHarms(1)

hasFavoriteAnimalHas Favorite Animal(1)

hasWildlifeHas Wildlife(1)

includesExampleIncludes Example(1)

includesTaxonIncludes Taxon(1)

indicatesTimeForIndicates Time for(1)

involvesTaxonInvolves Taxon(1)

nextTopicNext Topic(1)

primarilyCoversPrimarily Covers(1)

primaryCoveragePrimary Coverage(1)

protectsProtects(1)

receivesOfferingOfReceives Offering of(1)

spotsSpots(1)

wildlifeWildlife(1)

Other facts (23)

Timeline

References (12)

See also

Keep researching

`categorizedAs`Categorized As(6)

`classifiedAs`Classified As(5)

`hasTrainingTaxa`Has Training Taxa(2)

`includes`Includes(2)

`associatedWithFoodSource`Associated With Food Source(1)

`canBeCachedBy`Can Be Cached by(1)

`capturedEntity`Captured Entity(1)

`collectsSpecimensOf`Collects Specimens of(1)

`coversTaxonomicGroup`Covers Taxonomic Group(1)

`decoratedWith`Decorated With(1)

`favoriteAnimal`Favorite Animal(1)

`feature`Feature(1)

`for`For(1)

`formsHappyHuntingGroundFor`Forms Happy Hunting Ground for(1)

`formsHomeFor`Forms Home for(1)

`goodForBirds`Good for Birds(1)

`harms`Harms(1)

`hasFavoriteAnimal`Has Favorite Animal(1)

`hasWildlife`Has Wildlife(1)

`includesExample`Includes Example(1)

`includesTaxon`Includes Taxon(1)

`indicatesTimeFor`Indicates Time for(1)

`involvesTaxon`Involves Taxon(1)

`nextTopic`Next Topic(1)

`primarilyCovers`Primarily Covers(1)

`primaryCoverage`Primary Coverage(1)

`protects`Protects(1)

`receivesOfferingOf`Receives Offering of(1)

`spots`Spots(1)

`wildlife`Wildlife(1)