Spoladea recurvalis Phalaena
Bibliographic record
Abstract
1098. Spoladea recurvalis (Fabricius, 1775: 644) (Phalaena) Type locality: India orientali = Phalaena Pyralis fascialis Stoll in Cramer & Stoll, 1782: 236, pl. 398 fig. O Type locality: Japan = Phalaena angustalis Fabricius, 1787: 222 Type locality: India, Tranquebariae = Phycis recurvella Zincken, 1818: 143, 19 Type locality: Coromandel = Hymenia diffascialis Hübner, [1825] 1816 –1826k: 361 (unjustified emendation) = Hydrocampa albifascialis (misspell.) (Boisduval 1833b: 119) = Hydrocampa albifacialis Boisduval, 1833a: 267 Type locality: Madagascar = Spoladea animalis Guenée, 1854: 226 Type locality: Brazil, Pernambuco = Hymenia exodias Meyrick, 1904a: 130 Type locality: Hawaii, Molokai, 1000 ft = Nacoleia ancylosema Dognin, 1909: 93 Type locality: French Guiana, Saint-Laurent du Maroni = Odezia hecate var. formosana Shiraki, 1910: 146, pl. 35 fig. 5 Type locality: Formosa Distribution. Indian records: Hindostan, North Hindostan (Walker 1859a), Tranquebariae (Fabricius 1787), Sikkim, Darjeeling (Snellen 1890), North India (Rose & Dhillon 1980c), Kerala (Mathew & Menon 1984), throughout India (Gupta 1994), India (Robinson et al. 1994), West Bengal (Bardhaman, Calcutta, South 24-Parganas districts) (Bhattacharya 1997), Andaman and Nicobar Islands (North Andaman, South Andaman, Little Andaman and South Nicobar) (Chandra & Rajan 2004), Pachmarhi Biosphere Reserve, Madhya Pradesh (Hoshangabad, Jabalpur, Seoni) (Chandra 2009), throughout India (Sharma 2014), India (Wang & Speidel 2000, Poltavsky et al. 2018), Himachal Pradesh, Uttarakhand, Arunachal Pradesh, Haryana, Chhattisgarh, Maharashtra, Karnataka, Tamil Nadu (Chandra et al. 2019), Bihar, Jharkhand (Singh 2019), Delhi (Komal et al. 2021), Thar Desert, Kutch (Chandra et al. 2021). Global records: S. America, Antilles, Brazil, Guyane, Java, Bengala, Senegal (Guenée 1854), Jamaica, St. Domingo, Venezuela, Honduras, Santarem, Sierra Leone, Congo, Ceylon, China, Australia, Sydney, Moreton bay, New Zealand (Walker 1859a), Réunion (Guenée 1862), South Africa: Natal (Butler 1875), St. Thomas, Jamaica: Kingston, Colombia: Baranquilla (Snellen 1875), St. Helena (Walker 1875, Karisch 2007), Central Sumatra: Verbeek goldmine, Soepajang, Moeara Laboe (Snellen 1880b), Fiji (Druce 1888), Dem. Rep. Congo (Holland 1920), Mozambique (de Joannis 1927), Vietnam (Tonkin) (de Joannis 1930), Hawaii (Zimmerman 1958), Iran (Amsel 1959a, 1961), Rapa Island (Clarke 1971), Sri Lanka, Southern China, Taiwan, North Vietnam (Tonkin), Cocos, Keeling, Philippines, Buru, Indo-Malayan area (Sumatra, Java, Borneo, Mysol), Papua, Bismarck Archipelago, Solomon, New Hebrides, Kermadec, Samoa, Fiji, Laysan Island, Norfolk Island, New South Wales, New Zealand, Bermuda Island, Honduras, Jamaica, Haiti, St. Domingo, Virginia, Bahama Island, Venezuela, Chili, Christmas Island Hawaii, New York, Pennsylvania, U. S. S. R. (Ussuri), Andes, Egypt, Iraq, Syria, Southern Arabia, Western and Central China, Korea, Japan, Southern Sahara, Sierra Leone, Congo, Kamerun, Eastern and Southern Africa, Malagasy, Co ë tivy Island, Chagos Island, Seychelles, Amirantes Island, Sokotra, Maldives (Mandal & Bhattacharya 1980), Corsica (Rungs 1982), Japan (Inoue 1982), Bermuda (Ferguson et al. 1991), Taiwan (Yamanaka 1992), Cyprus (Arenberger 1994), Sri Lanka, Taiwan, Burma, Andaman Islands, Thailand, W. Malaysia, Singapore, Sumatra, Philippines, Ambon, Timor, New Guinea, Australia, Micronesia, Hawaiian Islands also widespread in Africa and Atlantic Ocean islands, Caribbean, eastern Palaearctic (Robinson et al. 1994), Japan, Bonin (Ogasawara) islands: Chichijima, Hahajima, Anijima, Minami-Iwojima, Taiwan, Pacific Islands, Philippines, New Guinea, Hawaii, SE Asia to Africa (Inoue 1996b, 1998), Denmark, Germany, Netherlands, Great Britain, France, Corsica, Spain, Malta (Speidel 1996), Australia (Shaffer et al. 1996), France, Corsica (Leraut 1997), Canary Islands (Lempke 1979, Báez & Martín 2004), Azores (Meyer et al. 1997, Borges et al. 2005) Nepal (Yamanaka 1998), China, Taiwan, Japan, Nepal, Bhutan, Philippines, Indonesia, America, Hawaii, Africa, Australia (Wang & Speidel 2000), Namibia: Brandberg (Maes 2004), Galapagos (Causton et al. 2006), Aldabra Atoll (Shaffer & Munroe 2003 [2007]), Korea (Bae et al. 2008), Mayotte (Parnaudeau 2009), Pantropical, penetrates to Palaearctic, British Indian Ocean Territory, Cameroon, Cape Verde, Comoros, DR Congo, Equatorial Guinea, Ethiopia, Gambia, Kenya, Lesotho, Madagascar, Maldives, Mauritius, Mozambique, Namibia, Niger, Nigeria, Oman, Rwanda, Réunion, Saint Helena, Saudi Arabia, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, Sudan, Tanzania, Togo, Uganda, United Arab Emirates, Yemen, Zambia, Zimbabwe (De Prins & De Prins 2011–2021), Mali, Australia, Hawaii (Molokai), New Zealand, Rapa Island, Neotropical: Brazil, French Guiana, Indonesia (Java), Malaysia, Myanmar, Singapore, Sri Lanka, Taiwan, Canary Islands, Europe, China, Japan (Poltavsky et al. 2018), Pakistan, Bangladesh, Hong Kong, UAE, Portugal, Greece, Canada, USA, Mexico, Cuba, Costa Rica (Chandra et al. 2019), France: Pyrénées-Orientales (Peslier & Taurand 2020).
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.
How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Other design | low |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.012 |
Machine scores (provisional)
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.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".