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Record W3157069986

International market analysis of gold's demand and supply -with special reference to gold strikes in India

2019· article· en· W3157069986 on OpenAlex
Shivani Nischal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZENITH International Journal of Multidisciplinary Research · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Supply and demandInvestment (military)EconomicsGovernment (linguistics)Gold as an investmentAgricultural economicsMarket shareFellCommerceBusinessMarket economyInternational economicsMonetary economicsFinanceMacroeconomicsGeographyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The Current research framework analysis the market's demand and supply of Gold as main investment in international scenario. The demand of Gold Increase by 21 percent to 1289.8tthat is the strongest on record of first quarter Q1 in 2016. Investment too drove gains. Jewellery fell sharply on higher prices and market specific factors. Jewellers respond to government tax rises with country-wide strikes, forcing Indian consumers to postpone Q1 demand. India's jewellery market virtually ground to a halt in March as a combination of surging prices and industrial action in protest at government policy made for an extremely challenging quarter. In mid-January, the local gold price breached the key Rs26,000/10g level, reaching Rs28,000/10g by 10 February before surging higher still, getting close to Rs30,000/10g by the end of the quarter. This sent a strong signal to Indian consumers to hold off on buying gold jewellery until prices stabilised. As demand dried up, the local market quickly moved into a discount to the international price. This reflected not only a dearth of consumer demand, but also a drying-up of supply as the market effectively shut down in March.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.047
GPT teacher head0.320
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it